Slice-based trajectory privacy protection method in crowd sensing

Abstract

The invention is applicable to the technical field of privacy protection, and provides a slice-based trajectory privacy protection method in crowd sensing, which comprises the following steps of: S1,slicing trajectory data by taking a position as a minimum unit, obtaining trajectory tuples, and generating identifiers of the trajectory tuples; S2, mapping the index of the track tuple and the operation tag to form query logic, and storing the query logic in a client; S3, uploading the track tuples and the corresponding indexes to a server through a random threshold number of clients; S4, obtaining an index sequence of the track tuple based on the query logic, and sending the index sequence to a server; and S5, receiving a trajectory tuple returned by the server, wherein the trajectory tupleis a trajectory tuple corresponding to the index sequence. The track tuple is iterated in the participant, so that the personal position privacy and the track privacy of the perceived user can be effectively protected, the track privacy leakage problem caused by the hooking of a malicious user and a server can be resisted, the track can be reconstructed at the client, and the practicability of the client data is ensured.

Description

technical field [0001] The invention belongs to the technical field of privacy protection, and provides a slice-based trajectory privacy protection method in crowd sensing. Background technique [0002] The concept of Crowd Sensing (CS) is proposed based on the subjective initiative of people in activities. Specifically, they propose that the mobile smart terminal held by an individual can be used as a mobile sensor node to complete the collection, analysis and sharing of various local data (such as sound, video, image, etc.). The current use of health-engaging sensing as a method of data collection is rapidly becoming a reality, which will revolutionize the scale and types of data that can be aggregated for several population health, epidemiological, statistical, and data analysis purposes. The range of possible applications of crowd sensing is large, but previous work on crowd sensing has not considered in detail possible applications in the health context. Wearable tech...

AI Technical Summary

Problems solved by technology

For example, the rendering of personal motion trajectories on the map can be used for decision-making in the selection of public fitness facilities. There are many existing methods for trajectory privacy protection. Practicality

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