A privacy protection method and system for mobile crowd sensing

Abstract

The invention provides a privacy protection method and system in mobile crowd sensing. The method comprises sensing data uploading, sensing data aggregation and sensing data transaction stages, and the system comprises a mixed excitation sensing module, a sensing data noise adding module, a user key generation module, a sensing data encryption module, an encrypted data uploading module, a sensingdata aggregation module, a sensing data decryption module, a secure multi-party computation module and a sensing data transaction auction module. By adoption of the privacy protection method and system, an effective mechanism is established to improve the degree of participation of the sensing user and the authenticity of the sensing data; and moreover, the leakage of the personal privacy data ofthe sensing user is effectively protected, the false data of malicious users is prevented, the computational overhead of the involved algorithm is low, a secure and efficient design target is achieved, the privacy protection method and system is suitable for large-scale promotion and use and can be applied to actual production and life processes.

Description

technical field [0001] The present invention relates to the field of community sensing, in particular to a privacy protection method and system for mobile crowd sensing. Background technique [0002] The mobile crowd sensing system combines the idea of ​​crowdsourcing with mobile perception, and uses the embedded sensors (such as acceleration sensors, digital compass, GPS, microphone, camera, etc.) contained in ordinary users' mobile devices as powerful perception units. , Consciously or unconsciously cooperate through the mobile Internet to form a group intelligence sensing network, realize the distribution of sensing tasks and the collection of sensing data, and complete large-scale and complex social sensing tasks. As a brand-new perception model of the Internet of Things, it provides a new way and means to realize ubiquitous deep social perception, but limited by the insufficient number of perception participants and the low quality of data provided, the development of c...

AI Technical Summary

Problems solved by technology

However, it does not consider the group intelligence under the condition that the intermediary is not completely credible, and the privacy protection method adopted by the perceived user has security threats (for example, k anonymity cannot resist background knowledge attacks), and there is also a lack of privacy protection research on the collusion of malicious users

[0005] In order to solve the malicious transactions in mobile crowd sensing, repeated games in game theory are introduced to prevent the occurrence of the prisoner's dilemma, but there are still problems such as multi-service provider competition and service provider privacy protection.

[0006] To sum up, for the problems of privacy leakage and malicious transactions in mobile crowd sensing, the existing solutions are all considered from one aspect, simply solving a certain problem, seriously ignoring other challenges, and cannot comprehensively solve mobile crowd sensing Perceived data privacy protection and perceptual data transaction issues in

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