CN118487716B - An Internet of Things processing method and system for data exchange - Google Patents

Abstract

The invention relates to an Internet of things processing method and system for data exchange, which relate to the field of data transmission and comprise the following steps: receiving a data exchange request to match target exchange data, constructing a target high-dimensional array, performing binary coding, generating a target coding sequence, performing two-dimensional plane random arrangement, and generating a target coding arrangement result; performing fuzzy processing on the target coding arrangement result to generate a data set to be transmitted, wherein the data set to be transmitted has fuzzy verification credentials; constructing a high-dimensional mapping credential based on a target high-dimensional array, a target coding sequence and the target coding arrangement result; and sending the fuzzy verification certificate and the high-dimensional mapping certificate to the target Internet of things node through a short message, and sending the data set to be transmitted to the target Internet of things node. The technical problem that the data security and the transmission efficiency cannot be balanced in the direct exchange and the encryption exchange in the prior art is solved.

Description

An Internet of Things processing method and system for data exchange

Technical Field

The present invention relates to the field of data transmission, and in particular to an Internet of Things processing method and system for data exchange.

Background Art

There are two main ways of IoT data exchange: direct exchange without encryption and encrypted exchange. Although direct exchange without encryption is simple, it has serious security risks. Data can be easily intercepted, tampered or stolen during transmission, which cannot meet security requirements.

Encrypted exchange ensures data security through encryption technology, but its disadvantage is that it requires the deployment of complex encryption and decryption rules. These rules not only increase the complexity of system implementation, but also significantly increase the amount of data transmitted. Specifically, encrypted data often has a certain degree of redundancy compared to original data, which increases the transmission burden and affects the efficiency and performance of data exchange. In addition, the decryption process requires additional computing resources, which increases the power consumption and latency of the device.

Therefore, in the data exchange of the Internet of Things, the existing technologies either cannot guarantee data security or increase the burden of data exchange due to encryption. A new method is urgently needed to balance data security and transmission efficiency.

Summary of the invention

The present invention aims to solve the technical problem that the direct exchange and encrypted exchange in the prior art cannot balance data security and transmission efficiency, and provides an Internet of Things processing method and system for data exchange to solve the problem.

The technical solution of the present invention to solve the above technical problems is as follows:

In a first aspect, the present invention provides an Internet of Things processing method for data exchange, which is applied to an Internet of Things node data center, comprising: receiving a data exchange request, wherein the data exchange request includes a target data attribute, a target data source, and a target data timestamp; matching target exchange data from a database according to the target data attribute, the target data source, and the target data timestamp; constructing a target high-dimensional array for the target exchange data in sequence; binary encoding the target high-dimensional array to generate a target coding sequence, wherein the target high-dimensional array has a one-to-one correspondence between the dimension and the sequence number interval of the target coding sequence; performing a two-dimensional plane random arrangement on the target coding sequence to generate a target coding arrangement result, wherein the target coding coordinates of any one of the target coding arrangement results correspond one-to-one to the target coding sequence number of the target coding sequence; performing fuzzy processing on the target coding arrangement result to generate a data set to be transmitted, wherein the data set to be transmitted has a fuzzy verification credential; constructing a high-dimensional mapping credential based on the target high-dimensional array, the target coding sequence, and the target coding arrangement result; sending the fuzzy verification credential and the high-dimensional mapping credential to the target Internet of Things node via SMS, and sending the data set to be transmitted to the target Internet of Things node.

In a second aspect, the present invention provides an Internet of Things processing system for data exchange, which is applied to an Internet of Things node data center, and includes: a user end, which is used to receive a data exchange request, wherein the data exchange request includes a target data attribute, a target data source, and a target data timestamp; a target data matching module, which is used to match the target exchange data from a database according to the target data attribute, the target data source, and the target data timestamp; a high-dimensional array construction module, which is used to construct a target high-dimensional array for the target exchange data in sequence; a target data encoding module, which is used to binary encode the target high-dimensional array to generate a target encoding sequence, wherein the target high-dimensional array has a one-to-one correspondence between the dimension and the sequence number interval of the target encoding sequence; a target encoding sequence A column module is used to perform a two-dimensional plane random arrangement of the target coding sequence to generate a target coding arrangement result, wherein the target coding coordinates of any one of the target coding arrangement results correspond to the target coding sequence number of the target coding sequence one by one; a data fuzzy processing module is used to perform fuzzy processing on the target coding arrangement result to generate a data set to be transmitted, wherein the data set to be transmitted has a fuzzy verification credential; a high-dimensional credential generation module is used to construct a high-dimensional mapping credential based on the target high-dimensional array, the target coding sequence and the target coding arrangement result; a data exchange module is used to send the fuzzy verification credential and the high-dimensional mapping credential to the target Internet of Things node via SMS, and send the data set to be transmitted to the target Internet of Things node.

The beneficial effects of the present invention are: after encoding the target data to be transmitted, the target data is arranged in a two-dimensional plane, and further, the fuzzy processing strategy is used to obtain the final data to be transmitted; the credential data of the restored data is then generated and sent to the target node via SMS. Since the semantics of the data to be transmitted are blurred, security is guaranteed, and the data is compressed by encoding technology to ensure data transmission efficiency, and the security of the credential is guaranteed by sending the credential via SMS, thereby achieving the technical effect of ensuring data transmission efficiency and security.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic flow chart of an Internet of Things processing method for data exchange provided by the present invention;

FIG2 is a schematic diagram of a structure of an Internet of Things process for data exchange provided by the present invention;

FIG3 is a schematic diagram of the structure of an electronic device provided by the present invention;

FIG. 4 is a schematic diagram of the structure of a computer-readable storage medium provided by the present invention.

In the accompanying drawings, the components represented by the reference numerals are listed as follows:

User end 1000, target data matching module 2000, high-dimensional array construction module 3000, target data encoding module 4000, target encoding arrangement module 5000, data fuzzy processing module 6000, high-dimensional credential generation module 7000, data exchange module 8000, electronic device 500, memory 510, processor 520, computer program 511, computer readable storage medium 600, computer program 611.

DETAILED DESCRIPTION

The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

Embodiment 1:

As shown in FIG1 , an embodiment of the present invention provides an Internet of Things processing method for data exchange, which is applied to an Internet of Things node data center and includes the steps of:

S10: receiving a data exchange request, wherein the data exchange request includes target data attributes, target data source and target data timestamp;

Specifically, when a data exchange request is received, the request includes the target data attributes, the target data source, and the target data timestamp. The data exchange request is the request information sent to the server when a data exchange operation is initiated, which contains the attributes, source, and time information of the required data. The target data attributes define the specific attributes or types of data to be exchanged, such as temperature data, humidity data, device status, etc. The target data source indicates the original source of the data, such as a specific IoT device, sensor, or data collection node. The target data timestamp is the specific time point or time range when the data is generated, which is used to find data for a specific time period in the database.

In the process of receiving a data exchange request, the system first generates and receives the request. The request lists the properties, source, and time information of the target data in detail. The system determines the type of data to be exchanged based on the properties of the target data, determines the data generation device or node based on the source of the target data, and determines the data generation time range based on the target data timestamp. This information helps the system accurately locate the data to be exchanged. The specific operation steps include receiving the request, parsing the request content, determining the data type, data source, and data time, thereby providing an accurate basis for subsequent data matching and processing.

This method can ensure the accuracy and pertinence of the data exchange process. The system can quickly locate and process the target data according to the received request information, thereby achieving efficient and secure data exchange. This method not only improves the efficiency of data exchange, but also ensures the accuracy and integrity of the data, providing reliable support for data management and application of the IoT system.

S20: matching target exchange data from a database according to the target data attribute, the target data source and the target data timestamp;

Specifically, the target exchange data refers to the data that needs to be exchanged; the database refers to the database used to store the collected data of the IoT node data center, which has at least three index conditions, including data attributes, data sources and data timestamps.

Perform a query operation in the database and match the data in the database with the target data attributes, sources and timestamps in the request through screening conditions. This process ensures that the extracted data meets the specific requirements of the request. After a successful match, the system will identify the qualified data as the target exchange data for subsequent processing and transmission.

Through this method, the system can accurately filter out the required target exchange data from the database. This not only improves the efficiency of data matching, but also ensures the accuracy and relevance of the data. It achieves efficient matching of data exchange requests with database data, provides a reliable data foundation for subsequent data processing and transmission, and optimizes the overall process of IoT data exchange.

S30: constructing a target high-dimensional array for the target exchange data in order;

Specifically, a high-dimensional array is a multidimensional data structure that can store and process a large amount of complex data. In the process of constructing the target high-dimensional array, the matched target exchange data first need to be sorted in a predetermined order. Preferably, this sorting can be based on the time when the data was generated.

S40: binary-encoding the target high-dimensional array to generate a target encoding sequence, wherein the target high-dimensional array has a one-to-one correspondence between the dimensions and the sequence number intervals of the target encoding sequence;

Specifically, binary encoding is the process of converting data into binary numbers, that is, a sequence of 0s and 1s, so that computer systems can process and transmit these data. The target encoding sequence is the encoding sequence generated after binary encoding of the target high-dimensional array, which is used for subsequent data transmission and processing.

In the process of binary encoding the target high-dimensional array, each data element in the target high-dimensional array needs to be binary encoded first. Specifically, this process includes converting the data elements into binary numbers, for example, the data value "10" is encoded as "1010", and the data value "255" is encoded as "11111111". Each data element needs to undergo such encoding conversion. Then, all the encoded binary numbers are arranged in the order of the original high-dimensional array to generate a target encoding sequence. This sequence retains the order and relationship of the original data in the high-dimensional array, ensuring that the data can be correctly restored during transmission and decoding, so the target high-dimensional array has a one-to-one correspondence between the dimensions and the serial number intervals of the target encoding sequence.

S50: performing a two-dimensional random arrangement of the target code sequence to generate a target code arrangement result, wherein the target code coordinates of any one of the target code arrangement results correspond to the target code sequence number of the target code sequence in a one-to-one manner;

Specifically, the two-dimensional plane random arrangement is to randomly distribute the data elements in the target code sequence on a two-dimensional plane. The target code arrangement result is the result after this random arrangement, wherein the target code coordinates of any target code arrangement result correspond to the target code sequence number of the target code sequence one by one.

In the process of randomly arranging the target coding sequence in a two-dimensional plane, it is first necessary to prepare a two-dimensional plane to accommodate all the data elements in the target coding sequence. Each data element has a unique serial number in the target coding sequence, called the target coding serial number. Then, through a random arrangement algorithm, these data elements are randomly distributed to various coordinate positions on the two-dimensional plane. It is important that the coordinate position of each data element on the two-dimensional plane (target coding coordinate) must be able to uniquely correspond back to the target coding serial number in the target coding sequence. This ensures that even if the data is randomly arranged on the two-dimensional plane, its position in the original coding sequence can still be found through the target coding coordinates.

In this way, the data in the target coding sequence is randomly arranged on a two-dimensional plane to form the target coding arrangement result. This not only increases the complexity and security of data transmission, making it difficult for unauthorized third parties to directly interpret the data, but also maintains the one-to-one correspondence between data elements, ensuring that the data can be accurately restored during transmission and decoding.

By randomly arranging the target code sequence in a two-dimensional plane and generating the target code arrangement result, the data transmission is further secured. The two-dimensional random arrangement increases the complexity of the data and prevents simple direct decoding. The target code coordinates of any target code arrangement result correspond to the target code sequence number of the target code sequence, ensuring that the data can be accurately decoded and restored to the original data during transmission and reception. This process effectively improves the security and reliability of IoT data exchange.

S60: performing fuzzy processing on the target code arrangement result to generate a data set to be transmitted, wherein the data set to be transmitted has a fuzzy verification credential;

Specifically, obfuscation is to change the original semantics of the code by perturbation, replacement, etc., making it difficult to directly interpret the data during transmission. The data set to be transmitted refers to the data set that is ready for transmission after obfuscation. The obfuscated verification certificate is a certificate that stores the obfuscation parameters and is used to restore the data at the receiving end.

In the process of obfuscating the target coding arrangement results, first of all, the data elements need to be processed by perturbation, replacement or encryption to change their original semantics. For example, position perturbation can randomly change the position of data elements on a two-dimensional plane, and numerical replacement can replace the original data value with specific rules. These processing methods ensure that the data cannot be easily interpreted during transmission. Then, the obfuscated data set is generated into a data set to be transmitted, and a fuzzy verification certificate is generated at the same time. The fuzzy verification certificate stores the specific parameters of the obfuscation process, including detailed information on perturbation and replacement, so that the receiving end can accurately restore the original data.

In this way, the target coding arrangement results are obfuscated and the data set to be transmitted is generated, and the data is further protected during the transmission process. The obfuscation process increases the complexity and security of the data and prevents unauthorized third parties from directly interpreting the data. The fuzzy verification certificate provides the necessary restoration information for the receiving end to ensure that the data can be accurately decoded and restored after transmission. This not only improves the security and privacy of data transmission, but also ensures the reliability and integrity of data processing, and optimizes the overall process of IoT data exchange.

S70: constructing a high-dimensional mapping voucher based on the target high-dimensional array, the target coding sequence and the target coding arrangement result;

Specifically, the high-dimensional mapping certificate is a certificate used to record the mapping relationship between these data, ensuring that the data can be accurately restored during the transmission and decoding process.

In the process of constructing a high-dimensional mapping voucher, first of all, it is necessary to record the data structure and element position in the target high-dimensional array. This includes the position of each data element in the high-dimensional array and its corresponding value. Next, the target coding sequence is recorded to ensure that each binary coded data corresponds to the element position in the high-dimensional array. Then, the position of each coded data in the target coding arrangement result is recorded with its position in the target coding sequence. Through these records, a detailed mapping relationship is formed to ensure that the original position and value of each data element can be accurately restored during data transmission and decoding.

In this way, the high-dimensional mapping voucher contains the detailed mapping relationship between the target high-dimensional array, the target encoding sequence and the target encoding arrangement result. This voucher can be used to decode and restore the data at the data receiving end to ensure the integrity and accuracy of the data.

By constructing a high-dimensional mapping voucher, data is further protected and guaranteed during transmission. The high-dimensional mapping voucher ensures the mapping relationship between the target high-dimensional array, the target coding sequence, and the target coding arrangement result, so that the data can be accurately decoded and restored at the receiving end. This not only improves the security and reliability of data transmission, but also ensures the integrity and accuracy of data processing, providing a solid foundation and guarantee for IoT data exchange.

S80: Send the fuzzy verification credential and the high-dimensional mapping credential to a target IoT node via SMS, and send the data set to be transmitted to the target IoT node.

Specifically, during the data transmission process, first, the fuzzy verification certificate and high-dimensional mapping certificate are sent to the target IoT node via SMS. SMS transmission ensures that these important verification information can reach the target node safely and quickly. The fuzzy verification certificate contains the specific parameters of the fuzzy processing, ensuring that the receiving end can accurately restore the obfuscated data. The high-dimensional mapping certificate records the mapping relationship of the data at each processing stage, ensuring that the receiving end can accurately decode and restore the original data.

Next, the data set to be transmitted is sent to the target IoT node via the network. The data set to be transmitted contains all the obfuscated data, ready to be decoded and restored at the target node. Transmitting the data set over the network ensures that the data can be efficiently transmitted to the target node, and cooperates with the verification credentials previously transmitted via SMS to achieve a complete data restoration process.

This approach ensures the security and integrity of data transmission. The SMS transmission of fuzzy verification credentials and high-dimensional mapping credentials provides an additional layer of security to prevent unauthorized access. The network transmission of the data set to be transmitted ensures the efficient transmission of data. Combining these two transmission methods, the target node can accurately restore and verify the data, improving the security and reliability of IoT data exchange.

By sending the fuzzy verification credentials and high-dimensional mapping credentials to the target IoT node via SMS, and sending the data set to be transmitted to the target IoT node, the security and integrity of the data during transmission are ensured. This process improves the security and privacy of data transmission, ensures that the receiving end can accurately decode and restore data, and optimizes the overall process of IoT data exchange.

Furthermore, the target high-dimensional array is binary-encoded to generate a target code sequence, wherein the target high-dimensional array has a one-to-one correspondence between the dimension and the sequence number interval of the target code sequence, including:

According to the target high-dimensional array, extracting first dimension data to Nth dimension data;

Binary-encode the first dimensional data to obtain a first encoding sequence;

Until the Nth dimension data is binary-encoded to obtain an Nth encoding sequence;

The first coding sequences are sequentially spliced until the Nth coding sequence to generate the target coding sequence.

Specifically, in the process of binary encoding the target high-dimensional array, it is first necessary to extract the first dimension data to the Nth dimension data according to the target high-dimensional array. The data of each dimension represents a part of the information in the high-dimensional array. For example, for a three-dimensional array, the first dimension data can be a slice of the entire array on the first dimension. Next, the first dimension data is binary encoded to obtain a first coding sequence. Binary encoding converts each data element into a binary number, for example, the data value "10" is encoded as "1010", and the data value "255" is encoded as "11111111". This process continues until the Nth dimension data is binary encoded to obtain the Nth coding sequence. Finally, the coding sequences of all dimensions are spliced in order to generate the target coding sequence. In this way, the target coding sequence not only retains the structure and order of the original high-dimensional array, but also ensures that the position of the data of each dimension in the sequence corresponds one to one.

By binary encoding the target high-dimensional array and generating a target encoding sequence, the data is effectively compressed and organized, which is convenient for subsequent processing and transmission. Binary encoding not only compresses the representation of data, but also improves the efficiency and security of data transmission. The target encoding sequence maintains the structure and order of the original data, providing a solid foundation for data exchange in the IoT system. This not only optimizes the data processing process, but also ensures the integrity and reliability of the data during transmission.

Furthermore, the target coding sequence is randomly arranged in a two-dimensional plane to generate a target coding arrangement result, including:

Configure the 2D plane constraint width;

Randomly extracting the i-th number code from the target code sequence, randomly arranging the i-th number code based on the two-dimensional plane constraint width, obtaining the i-th number code arrangement coordinate, and adding the i-th number code arrangement coordinate to the target code arrangement result, wherein one coordinate can only arrange one code;

When the target coding sequences are all arranged, the target coding arrangement result is obtained and outputted.

Specifically, first, you need to configure the constraint width of the two-dimensional plane, which means setting a width range of the two-dimensional plane to limit the position of the arrangement of the coded data elements. Next, randomly extract the i-th sequence code from the target coding sequence, and based on the set two-dimensional plane constraint width, randomly arrange the i-th sequence code to a certain position on the two-dimensional plane to obtain the i-th sequence code arrangement coordinates. It is necessary to ensure that each coordinate can only arrange one coded data element to avoid overlapping data elements. This process is carried out in sequence until all the coded data elements in the target coding sequence are arranged. Finally, the target coding arrangement result is generated and output, which contains the randomly arranged coordinates of all coded data elements on the two-dimensional plane.

Through this method, the target coding sequence is randomly arranged in a two-dimensional plane and the target coding arrangement result is generated, and the data is further protected during the transmission process. The two-dimensional random arrangement increases the complexity of the data, making it difficult for unauthorized third parties to directly interpret the data. The coordinates of each coded data element on the two-dimensional plane correspond one-to-one to its serial number in the original coding sequence, ensuring that the data can be accurately restored at the receiving end. This not only improves the security and privacy of data transmission, but also ensures the reliability and integrity of data processing, providing a solid foundation and guarantee for data exchange in the Internet of Things system.

Further, the target coding arrangement result is subjected to fuzzy processing to generate a data set to be transmitted, including:

Randomly select a first function from a fuzzy processing function library, wherein the first function has a preset two-dimensional curve image, the preset two-dimensional curve image has a first positioning coordinate, a second positioning coordinate, and up to an Nth positioning coordinate, and the Euclidean distance between any two positioning coordinates is greater than or equal to a Euclidean distance threshold;

Distribute the preset two-dimensional curve image to the target code arrangement result, and extract the first reference code and the first reference coordinate, the second reference code and the second reference coordinate, and up to the Nth reference code and the Nth reference coordinate corresponding to the first positioning coordinate from the target code arrangement result;

According to the first reference code and the first reference coordinates, the second reference code and the second reference coordinates, up to the Nth reference code and the Nth reference coordinates, combined with the first function, the target code arrangement result is fuzzy processed to generate the data set to be transmitted.

Specifically, first, a first function is randomly selected from a fuzzy processing function library. The fuzzy processing function library contains a variety of preset fuzzy processing functions, each of which has a specific two-dimensional curve image. The first function has a preset two-dimensional curve image, and a plurality of positioning coordinates (a first positioning coordinate, a second positioning coordinate, and up to the Nth positioning coordinate) are marked on the image. The Euclidean distance between these positioning coordinates is greater than or equal to a preset Euclidean distance threshold, ensuring that the positioning coordinates are evenly distributed and avoid being too concentrated.

Next, the preset two-dimensional curve image is distributed on the target code arrangement result. Then, the reference codes and reference coordinates corresponding to these positioning coordinates are extracted from the target code arrangement result. For example, the first reference code and the first reference coordinate corresponding to the first positioning coordinate, the second reference code and the second reference coordinate corresponding to the second positioning coordinate, until the Nth reference code and the Nth reference coordinate corresponding to the Nth positioning coordinate.

Finally, according to the extracted reference codes and reference coordinates (the first reference code and the first reference coordinates, the second reference code and the second reference coordinates, until the Nth reference code and the Nth reference coordinates), combined with the first function, the target code arrangement result is fuzzy processed. The fuzzy processing changes the original semantics of these codes through the first function, such as by perturbation or replacement, so that the data is difficult to be directly interpreted during the transmission process. After the processing is completed, the data set to be transmitted is generated.

Through this method, the target coding arrangement results are obfuscated and the data set to be transmitted is generated, and the data is further protected during the transmission process. The obfuscation increases the complexity of the data, changes the original semantics of the data, and makes it difficult for unauthorized third parties to directly interpret the data. The data set to be transmitted provides security and privacy protection for the transmission, ensuring that the data can be accurately restored at the receiving end through the obfuscated verification certificate. This not only improves the security and privacy of data transmission, but also ensures the reliability and integrity of data processing, providing a solid foundation and guarantee for data exchange in the Internet of Things system.

Further, according to the first reference code and the first reference coordinate, the second reference code and the second reference coordinate, until the Nth reference code and the Nth reference coordinate, in combination with the first function, fuzzy processing is performed on the target code arrangement result to generate the data set to be transmitted, including:

The target code arrangement result except the first reference code, the second reference code and the Nth reference code is set as the code to be blurred;

Obtaining a first code to be blurred and a first coordinate of the code to be blurred;

Based on the first coded coordinate to be blurred, performing a Euclidean distance sorting from the first reference coordinate, the second reference coordinate to the Nth reference coordinate to obtain a selected reference coordinate;

Based on the selected reference coordinates, sorting from the first reference code, the second reference code to the Nth reference code to obtain a selected reference code;

Performing coordinate deviation analysis on the first coded coordinate to be fuzzy processed according to the selected reference coordinate to obtain first deviation information;

Performing semantic deviation analysis on the first code to be fuzzy processed according to the selected reference code to obtain second deviation information;

Arranging the selected reference coordinates and the selected reference codes in order to generate a first data sequence;

Arrange the first deviation information and the second deviation information in order to generate a second data sequence, and add the second data sequence to the contiguous data sequence set of the first data sequence, wherein the second data sequence has the same length as the first data sequence;

When the traversal of the code to be obfuscated is completed, a first-element obfuscated verification credential is constructed with the first data sequence and added to the N-element verification credential;

The connected data sequence sets of the first data sequence are sequentially arranged to construct first element data to be transmitted, and added to the data set to be transmitted;

According to the first function encoding, an N+1th fuzzy verification credential is constructed, and the fuzzy verification credential is constructed in combination with the N-ary verification credential.

Specifically, the code to be blurred is the remaining code in the target code arrangement result except the reference code, which needs to be blurred; the first code to be blurred refers to any exemplary code to be blurred, and the coordinates of the first code to be blurred are the code coordinates corresponding to the first code to be blurred.

Based on the coordinates of the first code to be blurred, the first reference coordinates, the second reference coordinates, and the Nth reference coordinates are sorted by the closest Euclidean distance to obtain the selected reference coordinates. Then, based on the selected reference coordinates, the first reference code, the second reference code, and the Nth reference code are sorted to obtain the selected reference code. According to the selected reference coordinates, the coordinate deviation of the first code to be blurred is analyzed to obtain the first deviation information. For example, if the coordinates of the first code to be blurred are (1, 2) and the selected reference coordinates are (3, 4), then the first deviation information is (-2, -2). According to the selected reference code, the semantic deviation analysis of the first code to be blurred is performed to obtain the second deviation information. For example, if the selected reference code is 1 and the first code to be blurred is 0, then the second deviation information is -1. The selected reference coordinates and the selected reference code are arranged in order to generate a first data sequence. For example, if the selected reference coordinates are (3, 4) and the selected reference code is 1, then the first data sequence is 341. Arrange the first deviation information and the second deviation information in order to generate a second data sequence. For example, if the first deviation information is (-2, -2) and the second deviation information is -1, then the second data sequence is -2-2-1. Add them to the connected data sequence set of the first data sequence to ensure that the second data sequence and the first data sequence have the same length, which means that the number of digits is the same.

After traversing each code to be blurred and performing the same processing, the first data sequence is set as the first-element fuzzy verification credential; the connected data sequence set of the first data sequence is arranged in sequence to construct the first-element data to be transmitted. In the later step, at the receiving end, the first-element data to be transmitted can be restored based on the first-element fuzzy verification credential. The first data sequence is added to the N-element verification credential; the first-element data to be transmitted is added to the data set to be transmitted. According to the first function code, the N+1-element fuzzy verification credential is constructed, and the fuzzy verification credential is constructed in combination with the N-element verification credential. According to the function code, the specific function image can be determined at the receiving end to facilitate the restoration of the blurred processing.

Obfuscation increases the complexity of data, changes the original semantics of data, and makes it difficult for unauthorized third parties to directly interpret the data. Deviation information and verification credentials ensure that the data can be accurately restored through verification at the receiving end. This not only improves the security and privacy of data transmission, but also ensures the reliability and integrity of data processing, providing a solid foundation and guarantee for data exchange in IoT systems.

Further, based on the target high-dimensional array, the target coding sequence and the target coding arrangement result, a high-dimensional mapping voucher is constructed, including:

Extracting first-dimensional target data from the target high-dimensional array;

Analyze the first-dimensional target data in the first-dimensional sequence number interval of the target coding sequence;

Analyze the first-dimensional sequence number interval and the first associated coordinate of the first sequence number, the second associated coordinate of the second sequence number, and the Qth associated coordinate of the Qth sequence number of the target code arrangement result;

The first serial number, the first associated coordinate, the second serial number, the second associated coordinate, the Qth serial number, and the Qth associated coordinate are arranged in sequence to construct a first-element high-dimensional mapping certificate, and added to the high-dimensional mapping certificate.

Specifically, in the process of constructing a high-dimensional mapping voucher, the first-dimensional target data is first extracted from the target high-dimensional array. This step obtains the data of one dimension in the high-dimensional array. Next, the first-dimensional sequence number interval of the first-dimensional target data in the target coding sequence is analyzed, which means determining the position range of these data in the coding sequence. Then, the associated coordinates of the first-dimensional sequence number interval and the target coding arrangement result are analyzed. Specifically, this includes finding the two-dimensional coordinates corresponding to each sequence number in the target coding sequence from the target coding arrangement result. For example, find the first associated coordinates of the first sequence number, the second associated coordinates of the second sequence number, until the Qth associated coordinates of the Qth sequence number.

Next, these serial numbers and associated coordinates are arranged in sequence to construct the first-element high-dimensional mapping voucher. Specifically, the first serial number and the first associated coordinate, the second serial number and the second associated coordinate, until the Qth serial number and the Qth associated coordinate are arranged in sequence to form an ordered mapping relationship. Then, this mapping voucher is added to the high-dimensional mapping voucher.

This method ensures that the mapping relationship between each data element in the high-dimensional array, the encoding sequence, and the encoding permutation result is recorded in detail. This process ensures that the position and value of each data element can be accurately restored during data transmission and decoding.

By constructing a high-dimensional mapping voucher, data is further protected and guaranteed during transmission. The high-dimensional mapping voucher ensures the detailed mapping relationship between the target high-dimensional array, the target coding sequence, and the target coding arrangement result, so that the data can be accurately decoded and restored at the receiving end. This not only improves the security and reliability of data transmission, but also ensures the integrity and accuracy of data processing, providing a solid foundation and guarantee for IoT data exchange.

Further, it is applied to the target IoT node, including:

Restore the data set to be transmitted according to the fuzzy verification certificate to generate the target coding arrangement result;

The target encoding arrangement result is restored according to the high-dimensional mapping voucher to generate the target high-dimensional array.

Specifically, in the application process of the target IoT node, first, the data set to be transmitted is restored according to the fuzzy verification certificate to generate the target encoding arrangement result. This step uses the parameters contained in the fuzzy verification certificate to reverse the data set to be transmitted and restore its original encoding arrangement result. Specifically, the perturbation, substitution or encryption steps introduced during the fuzzy processing will be reversed and restored to the initial encoding arrangement form.

Next, the target encoding arrangement result is restored according to the high-dimensional mapping voucher to generate the target high-dimensional array. This step uses the detailed mapping relationship recorded in the high-dimensional mapping voucher to rearrange the data elements in the target encoding arrangement result and restore it to the original high-dimensional array structure. The high-dimensional mapping voucher contains the positional relationship between each data element in the target high-dimensional array in the encoding sequence and the encoding arrangement result, ensuring the accuracy of the restoration process. In this way, the target IoT node can accurately restore the received data to generate the original target high-dimensional array.

By applying fuzzy verification credentials and high-dimensional mapping credentials at the target IoT node, the security and integrity of the data during transmission are ensured. The fuzzy verification credentials enable the fuzzy data to be accurately restored, preventing the data from being intercepted and tampered with during transmission. The high-dimensional mapping credentials ensure the mapping relationship between the target high-dimensional array, the target coding sequence, and the target coding arrangement result, so that the data can be accurately restored at the receiving end. This process improves the security and reliability of data transmission and ensures the integrity and accuracy of data exchange and processing in the IoT system.

An Internet of Things processing method for data exchange provided by an embodiment of the present invention has at least the following technical effects:

After encoding the target data to be transmitted, it is arranged in a two-dimensional plane, and further, the fuzzy processing strategy is used to obtain the final data to be transmitted; the credential data of the restored data is then generated and sent to the target node via SMS. Since the semantics of the data to be transmitted are blurred, security is guaranteed, and the data is compressed through encoding technology to ensure data transmission efficiency, and the security of the credential is guaranteed by sending the credential via SMS, thus achieving the technical effect of ensuring data transmission efficiency and security.

Embodiment 2:

As shown in FIG2 , based on the same inventive concept as the Internet of Things processing method for data exchange provided in Embodiment 1, an embodiment of the present invention further provides an Internet of Things processing system for data exchange, which is applied to an Internet of Things node data center, including:

The user terminal 1000 is used to receive a data exchange request, wherein the data exchange request includes target data attributes, target data source and target data timestamp;

A target data matching module 2000, for matching target exchange data from a database according to the target data attributes, the target data source and the target data timestamp;

A high-dimensional array construction module 3000 is used to construct a target high-dimensional array according to the sequence of the target exchange data;

A target data encoding module 4000 is used to perform binary encoding on the target high-dimensional array to generate a target encoding sequence, wherein the target high-dimensional array has a one-to-one correspondence between the dimensions and the sequence number intervals of the target encoding sequence;

The target code arrangement module 5000 is used to perform a two-dimensional plane random arrangement on the target code sequence to generate a target code arrangement result, wherein the target code coordinates of any of the target code arrangement results correspond to the target code sequence number of the target code sequence in a one-to-one manner;

The data fuzzy processing module 6000 is used to perform fuzzy processing on the target code arrangement result to generate a data set to be transmitted, wherein the data set to be transmitted has a fuzzy verification certificate;

A high-dimensional voucher generation module 7000 is used to construct a high-dimensional mapping voucher based on the target high-dimensional array, the target coding sequence and the target coding arrangement result;

The data exchange module 8000 is used to send the fuzzy verification certificate and the high-dimensional mapping certificate to the target IoT node via SMS, and to send the data set to be transmitted to the target IoT node.

Furthermore, the target data encoding module 4000 executes the following steps:

According to the target high-dimensional array, extracting first dimension data to Nth dimension data;

Binary-encode the first dimensional data to obtain a first encoding sequence;

Until the Nth dimension data is binary-encoded to obtain an Nth encoding sequence;

The first coding sequences are sequentially spliced until the Nth coding sequence to generate the target coding sequence.

Furthermore, the target code arrangement module 5000 executes the following steps:

Configure the 2D plane constraint width;

Randomly extracting the i-th number code from the target code sequence, randomly arranging the i-th number code based on the two-dimensional plane constraint width, obtaining the i-th number code arrangement coordinate, and adding the i-th number code arrangement coordinate to the target code arrangement result, wherein one coordinate can only arrange one code;

When the target coding sequences are all arranged, the target coding arrangement result is obtained and outputted.

Furthermore, the data fuzzy processing module 6000 executes the following steps:

Randomly select a first function from a fuzzy processing function library, wherein the first function has a preset two-dimensional curve image, the preset two-dimensional curve image has a first positioning coordinate, a second positioning coordinate, and up to an Nth positioning coordinate, and the Euclidean distance between any two positioning coordinates is greater than or equal to a Euclidean distance threshold;

Distribute the preset two-dimensional curve image to the target code arrangement result, and extract the first reference code and the first reference coordinate, the second reference code and the second reference coordinate, and up to the Nth reference code and the Nth reference coordinate corresponding to the first positioning coordinate from the target code arrangement result;

According to the first reference code and the first reference coordinate, the second reference code and the second reference coordinate, up to the Nth reference code and the Nth reference coordinate, combined with the first function, the target code arrangement result is fuzzy processed to generate the data set to be transmitted.

Furthermore, the data fuzzy processing module 6000 executes the following steps:

The target code arrangement result except the first reference code, the second reference code and the Nth reference code is set as the code to be blurred;

Obtaining a first code to be blurred and a first coordinate of the code to be blurred;

Based on the first coded coordinate to be blurred, performing a Euclidean distance sorting from the first reference coordinate, the second reference coordinate to the Nth reference coordinate to obtain a selected reference coordinate;

Based on the selected reference coordinates, sorting from the first reference code, the second reference code to the Nth reference code to obtain a selected reference code;

Performing coordinate deviation analysis on the first coded coordinate to be fuzzy processed according to the selected reference coordinate to obtain first deviation information;

Performing semantic deviation analysis on the first code to be fuzzy processed according to the selected reference code to obtain second deviation information;

Arranging the selected reference coordinates and the selected reference codes in order to generate a first data sequence;

Arrange the first deviation information and the second deviation information in order to generate a second data sequence, and add the second data sequence to the contiguous data sequence set of the first data sequence, wherein the second data sequence has the same length as the first data sequence;

When the traversal of the code to be obfuscated is completed, a first-element obfuscated verification credential is constructed with the first data sequence and added to the N-element verification credential;

The connected data sequence sets of the first data sequence are sequentially arranged to construct first element data to be transmitted, and added to the data set to be transmitted;

According to the first function encoding, an N+1th fuzzy verification credential is constructed, and the fuzzy verification credential is constructed in combination with the N-ary verification credential.

Furthermore, the high-dimensional credential generation module 7000 executes the following steps:

Extracting first-dimensional target data from the target high-dimensional array;

Analyze the first-dimensional target data in the first-dimensional sequence number interval of the target coding sequence;

Analyze the first-dimensional sequence number interval and the first associated coordinate of the first sequence number, the second associated coordinate of the second sequence number, and the Qth associated coordinate of the Qth sequence number of the target code arrangement result;

The first serial number, the first associated coordinate, the second serial number, the second associated coordinate, the Qth serial number, and the Qth associated coordinate are arranged in sequence to construct a first-element high-dimensional mapping certificate, and added to the high-dimensional mapping certificate.

Further, applied to the target IoT node, the execution steps include:

Restore the data set to be transmitted according to the fuzzy verification certificate to generate the target coding arrangement result;

The target encoding arrangement result is restored according to the high-dimensional mapping voucher to generate the target high-dimensional array.

Embodiment three:

Please refer to Figure 3, which is a schematic diagram of an embodiment of an electronic device provided by an embodiment of the present invention. As shown in Figure 3, an embodiment of the present invention provides an electronic device 500, including a memory 510, a processor 520, and a computer program 511 stored in the memory 510 and executable on the processor 520. When the processor 520 executes the computer program 511, the following steps are implemented: receiving a data exchange request, wherein the data exchange request includes target data attributes, target data source, and target data timestamp; matching target exchange data from a database according to the target data attributes, the target data source, and the target data timestamp; constructing a target high-dimensional array in sequence for the target exchange data; performing binary encoding on the target high-dimensional array to generate a target encoding sequence, wherein the target high-dimensional array The target coding sequence has a one-to-one correspondence between the dimension and the serial number interval of the target coding sequence; the target coding sequence is randomly arranged in a two-dimensional plane to generate a target coding arrangement result, wherein the target coding coordinates of any one of the target coding arrangement results correspond to the target coding serial number of the target coding sequence; the target coding arrangement result is fuzzy processed to generate a data set to be transmitted, wherein the data set to be transmitted has a fuzzy verification credential; based on the target high-dimensional array, the target coding sequence and the target coding arrangement result, a high-dimensional mapping credential is constructed; the fuzzy verification credential and the high-dimensional mapping credential are sent to the target Internet of Things node via SMS, and the data set to be transmitted is sent to the target Internet of Things node.

Embodiment 4:

Please refer to Figure 4, which is a schematic diagram of an embodiment of a computer-readable storage medium provided by an embodiment of the present invention. As shown in Figure 4, this embodiment provides a computer-readable storage medium 600, on which a computer program 611 is stored, and when the computer program 611 is executed by a processor, the following steps are implemented: receiving a data exchange request, wherein the data exchange request includes target data attributes, target data source, and target data timestamp; matching target exchange data from a database according to the target data attributes, the target data source, and the target data timestamp; constructing a target high-dimensional array for the target exchange data in sequence; performing binary encoding on the target high-dimensional array to generate a target encoding sequence, wherein the target high-dimensional array is a sequence number of the dimension and the target encoding sequence. The target coding sequence is randomly arranged in a two-dimensional plane to generate a target coding arrangement result, wherein the target coding coordinates of any one of the target coding arrangement results correspond to the target coding sequence number of the target coding sequence; the target coding arrangement result is fuzzy processed to generate a data set to be transmitted, wherein the data set to be transmitted has a fuzzy verification credential; based on the target high-dimensional array, the target coding sequence and the target coding arrangement result, a high-dimensional mapping credential is constructed; the fuzzy verification credential and the high-dimensional mapping credential are sent to the target IoT node via SMS, and the data set to be transmitted is sent to the target IoT node.

It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

The present invention is described with reference to the flowchart and/or block diagram of the method, device (system), and computer program product according to the embodiment of the present invention. It should be understood that each process and/or box in the flowchart and/or block diagram, as well as the combination of the processes and/or boxes in the flowchart and/or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate a device for implementing the functions specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the block diagram.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

Although preferred embodiments of the present invention have been described, additional changes and modifications may occur to these embodiments once those skilled in the art understand the basic inventive concepts.

Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of the present invention and its equivalent technologies, the present invention is also intended to include these changes and variations.

Claims (10)

1. An Internet of Things processing method for data exchange, characterized in that it is applied to an Internet of Things node data center, comprising: receiving a data exchange request, wherein the data exchange request includes target data attributes, target data source, and target data timestamp; matching target exchange data from a database according to the target data attributes, the target data source and the target data timestamp; Exchanging the target data in order, constructing a target high-dimensional array; Binary encoding is performed on the target high-dimensional array to generate a target coding sequence, wherein the target high-dimensional array has a one-to-one correspondence between the dimensions and the sequence number intervals of the target coding sequence; Performing a two-dimensional random arrangement on the target coding sequence to generate a target coding arrangement result, wherein the target coding coordinates of any one of the target coding arrangement results correspond to the target coding sequence number of the target coding sequence in a one-to-one manner; Performing fuzzy processing on the target code arrangement result to generate a data set to be transmitted, wherein the data set to be transmitted has a fuzzy verification credential; Constructing a high-dimensional mapping voucher based on the target high-dimensional array, the target coding sequence and the target coding arrangement result; The fuzzy verification certificate and the high-dimensional mapping certificate are sent to the target Internet of Things node via SMS, and the data set to be transmitted is sent to the target Internet of Things node. 2. The method according to claim 1, characterized in that the target high-dimensional array is binary-encoded to generate a target code sequence, wherein the target high-dimensional array has a one-to-one correspondence between the dimension and the sequence number interval of the target code sequence, comprising: According to the target high-dimensional array, extracting first dimension data to Nth dimension data; Binary-encode the first dimensional data to obtain a first encoding sequence; Until the Nth dimension data is binary-encoded to obtain an Nth encoding sequence; The first coding sequences are sequentially spliced until the Nth coding sequence to generate the target coding sequence. 3. The method according to claim 1, wherein the target coding sequence is randomly arranged in a two-dimensional plane to generate a target coding arrangement result, comprising: Configure the 2D plane constraint width; Randomly extracting the i-th number code from the target code sequence, randomly arranging the i-th number code based on the two-dimensional plane constraint width, obtaining the i-th number code arrangement coordinate, and adding the i-th number code arrangement coordinate to the target code arrangement result, wherein one coordinate can only arrange one code; When the target coding sequences are all arranged, the target coding arrangement result is obtained and outputted. 4. The method according to claim 1, wherein the target coding arrangement result is subjected to fuzzy processing to generate a data set to be transmitted, comprising: Randomly select a first function from a fuzzy processing function library, wherein the first function has a preset two-dimensional curve image, the preset two-dimensional curve image has a first positioning coordinate, a second positioning coordinate, and up to an Nth positioning coordinate, and the Euclidean distance between any two positioning coordinates is greater than or equal to a Euclidean distance threshold; Distribute the preset two-dimensional curve image to the target code arrangement result, and extract the first reference code and the first reference coordinate, the second reference code and the second reference coordinate, and up to the Nth reference code and the Nth reference coordinate corresponding to the first positioning coordinate from the target code arrangement result; According to the first reference code and the first reference coordinate, the second reference code and the second reference coordinate, up to the Nth reference code and the Nth reference coordinate, combined with the first function, the target code arrangement result is fuzzy processed to generate the data set to be transmitted. 5. The method according to claim 4, characterized in that the target code arrangement result is fuzzy processed according to the first reference code and the first reference coordinate, the second reference code and the second reference coordinate, until the Nth reference code and the Nth reference coordinate, in combination with the first function, to generate the data set to be transmitted, comprising: The target code arrangement result except the first reference code, the second reference code and the Nth reference code is set as the code to be blurred; Obtaining a first code to be blurred and a first coordinate of the code to be blurred; Based on the first coded coordinate to be blurred, performing a Euclidean distance sorting from the first reference coordinate, the second reference coordinate to the Nth reference coordinate to obtain a selected reference coordinate; Based on the selected reference coordinates, sorting from the first reference code, the second reference code to the Nth reference code to obtain a selected reference code; Performing coordinate deviation analysis on the first coded coordinate to be fuzzy processed according to the selected reference coordinate to obtain first deviation information; Performing semantic deviation analysis on the first code to be fuzzy processed according to the selected reference code to obtain second deviation information; Arranging the selected reference coordinates and the selected reference codes in order to generate a first data sequence; Arrange the first deviation information and the second deviation information in order to generate a second data sequence, and add the second data sequence to the contiguous data sequence set of the first data sequence, wherein the second data sequence has the same length as the first data sequence; When the traversal of the code to be obfuscated is completed, a first-element obfuscated verification credential is constructed with the first data sequence and added to the N-element verification credential; The connected data sequence sets of the first data sequence are sequentially arranged to construct first element data to be transmitted, and added to the data set to be transmitted; According to the first function encoding, an N+1th fuzzy verification credential is constructed, and the fuzzy verification credential is constructed in combination with the N-ary verification credential. 6. The method according to claim 1, characterized in that constructing a high-dimensional mapping voucher based on the target high-dimensional array, the target coding sequence and the target coding arrangement result comprises: Extracting first-dimensional target data from the target high-dimensional array; Analyze the first-dimensional target data in the first-dimensional sequence number interval of the target coding sequence; Analyze the first-dimensional sequence number interval and the first associated coordinate of the first sequence number, the second associated coordinate of the second sequence number, and the Qth associated coordinate of the Qth sequence number of the target code arrangement result; The first serial number, the first associated coordinate, the second serial number, the second associated coordinate, the Qth serial number, and the Qth associated coordinate are arranged in sequence to construct a first-element high-dimensional mapping certificate, and added to the high-dimensional mapping certificate. 7. The method according to claim 1, characterized in that it is applied to a target IoT node and comprises: Restore the data set to be transmitted according to the fuzzy verification certificate to generate the target coding arrangement result; The target encoding arrangement result is restored according to the high-dimensional mapping voucher to generate the target high-dimensional array. 8. An Internet of Things processing system for data exchange, characterized in that it is applied to an Internet of Things node data center, comprising: The user end is used to receive a data exchange request, wherein the data exchange request includes target data attributes, target data source and target data timestamp; A target data matching module, for matching target exchange data from a database according to the target data attributes, the target data source and the target data timestamp; A high-dimensional array construction module is used to construct a target high-dimensional array according to the sequence of the target exchange data; A target data encoding module, used for performing binary encoding on the target high-dimensional array to generate a target encoding sequence, wherein the target high-dimensional array has a one-to-one correspondence between the dimensions and the sequence number intervals of the target encoding sequence; A target code arrangement module, used for performing a two-dimensional plane random arrangement on the target code sequence to generate a target code arrangement result, wherein the target code coordinates of any of the target code arrangement results correspond to the target code sequence number of the target code sequence in a one-to-one manner; A data fuzzy processing module, used for performing fuzzy processing on the target code arrangement result to generate a data set to be transmitted, wherein the data set to be transmitted has a fuzzy verification certificate; A high-dimensional voucher generation module, used to construct a high-dimensional mapping voucher based on the target high-dimensional array, the target coding sequence and the target coding arrangement result; The data exchange module is used to send the fuzzy verification certificate and the high-dimensional mapping certificate to the target Internet of Things node via SMS, and to send the data set to be transmitted to the target Internet of Things node. 9. An electronic device, comprising: Memory for storing computer software programs; A processor, used to read and execute the computer software program, thereby implementing an Internet of Things processing method for data exchange as described in any one of claims 1 to 7. 10. A non-transitory computer-readable storage medium, characterized in that a computer software program is stored in the storage medium, and when the computer software program is executed by a processor, an Internet of Things processing method for data exchange as described in any one of claims 1 to 7 is implemented.