A Privacy-Preserving Reputation-Based Incentive Scheme for Crowdsourced Map Updates in Autonomous Vehicles
The dynamic maintenance of maps via Mobile Crowdsensing (MCS) is critical for autonomous driving but faces dual challenges regarding data trustworthiness and user privacy. Specifically, malicious vehicles may launch strategic attacks to degrade map accuracy, while traditional incentives often leak user trajectories thr...