Mobile Crowdsensing Scheme with Strong Privacy-Preserving

doi:10.13190/j.jbupt.2021-004

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (5): 114-120.doi: 10.13190/j.jbupt.2021-004

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Mobile Crowdsensing Scheme with Strong Privacy-Preserving

SHI Rui¹, FENG Hua-min^1,2, YANG Yang³, YUAN Feng², LIU Biao²

1. School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. Beijing Electronic Science and Technology Institute, Beijing 100070, China;
3. College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China

Received:2021-01-13 Online:2021-10-28 Published:2021-09-06

Abstract

Abstract: To realize the identity privacy, credential revocation, credit incentive features and mediate the contradiction between the identity tracking of malicious users and the privacy protection of honest users in a mobile crowdsensing system, a mobile crowdsensing scheme with strong privacy-preserving is proposed. Based on threshold cryptography, the new scheme distributes the identity tracking capability of anonymous users to multiple entities, which guarantees that multiple trackers can cooperatively reveal the real identity of users. Pointcheval-Sanders signature and Camenisch-Lysyanskaya accumulator based on Rivest-Shamir-Adleman assumption are combined to realize efficient and secure revocation of credentials. The privacy-preserving credit management mechanism is constructed by adopting the Pointcheval-Sanders signature. The security and experimental analysis of the scheme is carried out. The experimental results show that the scheme not only meets the security requirements, but also has feasibility in practical deployment.

Key words: cryptography, mobile crowdsensing, signature of knowledge, threshold cryptography, dynamic accumulator

CLC Number:

TP309.2

SHI Rui, FENG Hua-min, YANG Yang, YUAN Feng, LIU Biao. Mobile Crowdsensing Scheme with Strong Privacy-Preserving[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(5): 114-120.

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Mobile Crowdsensing Scheme with Strong Privacy-Preserving

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