A DAG-Based Reputation Mechanism for Preventing Peer Disclosure in SIoV

• DOI: 10.1109/jiot.2022.3189108
• Publication Date: 2022-07-07T19:30:17Z
• Authors: Yijing Li; Xiaofeng Tao; Xuefei Zhang; Jin Xu; Yisong Wang; Wenbo Xia
• Keywords: Upload; Information leakage; Robustness

The sensitive information of vehicles which is closely related to the safety transportation makes privacy problems in vehicular networks a popular concern. development artificial intelligence (AI) has led Internet Vehicles (IoV) next phase intelligence, Social IoV (SIoV). For social purposes, may upload captured images with more information. As result, problem even serious SIoV. exited studies privacy-preserving methods mainly consider spontaneous disclosure. However, main leakage real life comes from peer disclosure rather than disclosure, usually ignored. Therefore, this article innovatively presents decentralized scheme for solving issues SIoV, which, best our knowledge, first research SIoV discussion. A directed acyclic graph (DAG)-based mutual supervision (Dmsv) algorithm designed mutually distrustful vehicles. It verified that proposed reduces at least 72% multidimentional loss image entropy probability when compared nonpeer prevention. also achieves relatively low delay around 24 s transaction generation network-wide consensus. This provides feasibility applying DAG mobile system and guidance on how situation influences confirmation adjust incentive mechanism according maintain robustness.