Vehicular crowdsensing networks play a critical role in the Internet of Vehicles by enabling efficient information services, but challenges like on-demand message authentication and privacy protection persist. We propose a secure crowdsensing scheme, TRAMS, based on multi-authority attribute-based signatures, enabling fine-grained policies for participant authentication while safeguarding vehicle privacy. TRAMS incorporates a multi-authority key management system to enhance sensing efficiency, achieving superior message authentication compared to single-authority systems. To address malicious behaviors in VANETs, we introduce HDRS, a hybrid reputation system where vehicles and roadside units independently evaluate reputations and cross-reference results. HDRS leverages a reliability module and a dynamic adjustment mechanism to counter intelligent attacks, achieving up to 30% higher detection rates for collusion and 16% for adaptive threats compared to existing solutions.
Secure Vehicular Crowdsensing and Malicious Vehicles Detection in VANETs
Advd Topics Sci.,Technology China
Secure Data Sensing, Computing, and Dissemination in Vehicular Ad Hoc Networks ; Kapitel : 2 ; 11-59
20.02.2025
49 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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