Spatial aggregation based trajectory data privacy protection method and system

A technology of privacy protection and trajectory data, applied in the field of privacy protection of trajectory data based on spatial aggregation, can solve problems such as difficulty in ensuring overall data distortion, difficulty in coping with large amounts of spatial data, complex operation procedures, etc., and achieve simple calculation complexity , strong migration and portability effects
CN105205408AActive Publication Date: 2015-12-30SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Publication Date
2015-12-30

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Abstract

The invention provides a spatial aggregation based trajectory data privacy protection method and system. According to the method, an individual privacy risk metric value is acquired through establishment of a privacy model, the individual privacy risk metric value and the actual condition of urban population risk spatial distribution are compared, privacy risk protection is established, and an effect after privacy protection is evaluated. The method is simple, low in calculation complexity and applicable to spatial data with large data volume.
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Description

technical field

[0001] The technical field of data security of the present invention particularly relates to a method and system for privacy protection of track data based on spatial aggregation. Background technique

[0002] In the context of big data, it has become possible to identify individuals from call location data (CDR) by mining the spatial data of mobile phone user activities. With its detailed record list and powerful information contained in mobile phone positioning data, it has become a main research direction of various operators and scientific research institutions. At present, the identification of individual occupation and residence through mobile phone data, and the study of urban residents' activity patterns and urban spatial structure through mobile phone data have become a reality and have been scientifically verified. From the released mobile phone positioning data, using related mining algorithms to identify individuals with obvious characteristics i...

Claims

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