Gu et al., 2018 - Google Patents
Location data record privacy protection based on differential privacy mechanismGu et al., 2018
View PDF- Document ID
- 10749041079665960280
- Author
- Gu K
- Yang L
- Yin B
- Publication year
- Publication venue
- Information Technology and Control
External Links
Snippet
In this paper, our works mainly focus on providing a frame for the privacy protection of location data mining. We propose a location data record privacy protection scheme based on differential privacy mechanism, which employs the structure of multi-level query tree to …
- 238000007418 data mining 0 abstract description 7
Classifications
-
- 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
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
- G06F21/6254—Protecting personal data, e.g. for financial or medical purposes by anonymising data, e.g. decorrelating personal data from the owner's identification
-
- 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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
-
- 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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
-
- 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
-
- 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
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- 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
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gu et al. | Location data record privacy protection based on differential privacy mechanism | |
Wang et al. | Trust-enhanced collaborative filtering for personalized point of interests recommendation | |
Bordenabe et al. | Optimal geo-indistinguishable mechanisms for location privacy | |
Dong et al. | Novel privacy-preserving algorithm based on frequent path for trajectory data publishing | |
Zheng et al. | Semantic-aware privacy-preserving online location trajectory data sharing | |
Primault et al. | Time distortion anonymization for the publication of mobility data with high utility | |
Ou et al. | Multi-user location correlation protection with differential privacy | |
CN110134879B (en) | A Point of Interest Recommendation Algorithm Based on Differential Privacy Protection | |
Wang et al. | Private weighted histogram aggregation in crowdsourcing | |
Xiong et al. | A differentially private algorithm for location data release | |
Wang et al. | Achieving effective $ k $-anonymity for query privacy in location-based services | |
Riboni et al. | Differentially-private release of check-in data for venue recommendation | |
Tian et al. | Privacy-preserving social tie discovery based on cloaked human trajectories | |
Luo et al. | Enhancing frequent location privacy-preserving strategy based on geo-Indistinguishability | |
Li et al. | Differentially private trajectory analysis for points-of-interest recommendation | |
Hou et al. | Application of differential privacy for collaborative filtering based recommendation system: A survey | |
Lecuyer et al. | Enhancing selectivity in big data | |
Assam et al. | Differential private trajectory protection of moving objects | |
Zhang et al. | Trajectory privacy protection method based on differential privacy in crowdsensing | |
Rajaei et al. | Ambiguity in social network data for presence, sensitive-attribute, degree and relationship privacy protection | |
Li et al. | Differentially Private Data Aggregation Method Based on Worker Partition and Location Obfuscation for Mobile Crowdsensing. | |
Brito et al. | A distributed approach for privacy preservation in the publication of trajectory data | |
Pan et al. | Protecting personalized privacy against sensitivity homogeneity attacks over road networks in mobile services | |
Errounda et al. | An analysis of differential privacy research in location data | |
Yonekura et al. | Stm-a privacy-enhanced solution for spatio-temporal trajectory management |