Liubchenko et al., 2022 - Google Patents
Research Application of the Spam Filtering and Spammer Detection Algorithms on Social Media.Liubchenko et al., 2022
View PDF- Document ID
- 18110281678495669278
- Author
- Liubchenko N
- Podorozhniak A
- Oliinyk V
- Publication year
- Publication venue
- COLINS
External Links
Snippet
There are a bunch of different social networks and messengers today, which in times of pandemic corona-virus and Russian war in Ukraine have take a really big part of our entire live, especially in our work activities. Besides that, the problem with the spam and spammers …
- 238000001514 detection method 0 title abstract description 22
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/107—Computer aided management of electronic mail
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/54—Store-and-forward switching systems
- H04L12/58—Message switching systems, e.g. electronic mail systems
- H04L12/585—Message switching systems, e.g. electronic mail systems with filtering and selective blocking capabilities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/54—Store-and-forward switching systems
- H04L12/58—Message switching systems, e.g. electronic mail systems
- H04L12/5885—Message switching systems, e.g. electronic mail systems with provisions for tracking the progress of a message
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages
- H04L51/12—Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages with filtering and selective blocking capabilities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/55—Detecting local intrusion or implementing counter-measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1425—Traffic logging, e.g. anomaly detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages
- H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages
- H04L51/14—Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages with selective forwarding
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Adewole et al. | SMSAD: a framework for spam message and spam account detection | |
| Sethi et al. | SMS spam detection and comparison of various machine learning algorithms | |
| Jose et al. | Detecting spammers on social network through clustering technique | |
| Gharge et al. | An integrated approach for malicious tweets detection using NLP | |
| US20100145900A1 (en) | Spam filtering based on statistics and token frequency modeling | |
| Andriotis et al. | Emotional bots: content-based spammer detection on social media | |
| Liubchenko et al. | Research Application of the Spam Filtering and Spammer Detection Algorithms on Social Media. | |
| ISMAIL | An anti-spam detection model for emails of multi-natural language | |
| WO2008148819A2 (en) | Method and apparatus for the monitoring of relationships between two parties | |
| Taylor et al. | A model to detect spam email using support vector classifier and random forest classifier | |
| Dada et al. | A comparative study between naïve Bayes and neural network (MLP) classifier for spam email detection | |
| Anitha et al. | Email spam filtering using machine learning based xgboost classifier method | |
| Podorozhniak et al. | Research application of the spam filtering and spammer detection algorithms on social media and messengers | |
| Liu et al. | SDHM: A hybrid model for spammer detection in Weibo | |
| Khan et al. | Text mining approach to detect spam in emails | |
| Sharma et al. | A survey of email spam filtering methods | |
| Liu et al. | Detecting spam comments posted in micro-blogs using the self-extensible spam dictionary | |
| Rawat et al. | A real time spam classification of twitter data with comparative analysis of classifiers | |
| More et al. | Data mining with machine learning applied for email deception | |
| Tham et al. | Phishing message detection based on keyword matching | |
| Zeng et al. | Spammer detection on Weibo social network | |
| Kakade et al. | Spam filtering techniques and MapReduce with SVM: A study | |
| Angel et al. | Spam ham classifier | |
| Solanke et al. | Pattern recognition and reconstruction: detecting malicious deletions in textual communications | |
| Ali et al. | Detect and analysis of spam email based on machine learning algorithms–comparative approach |