MADPTM: Mix zones and dynamic pseudonym trust management system for location privacy

In intelligent transportation systems, the messages transmitted and received from one vehicle to another vehicle may enhance location privacy scheme; falsification message forwarding collusion attack, timing, and transition attacks all are serious issues and must be addressed in event trust management. Without which, decision making on event message may endanger the whole transportation system and may even threat the human life. In addition, pseudonym expiry is another critical issue of location privacy. The time interval of decision waiting even has been the critical accident response time. In this paper, we proposed a new novel mix zones and dynamic pseudonym trust management system, called MADPTM, which aims to prevent against attackers under privacy-enhanced road networks. On shortening the pseudonym expiry, we propose dynamic pseudonym trust management system, with the assistance of reported server. We performed a set of simulations under many trust attack models to evaluate the performance and efficiency of the proposed system. Our proposed MADPTM method proved to be highly resilient to various attacks, and simulation results verified that our method outperforms other existing methods.