… Hence, a strategy to provide security in VANETs is … protect vehicular networks against
various threats, as it has the ability to detect both insider and external attacks with a high accuracy […

… This research demonstrates a mixed security system that combines both federated …
intrusion detection in smart vehicular networks. We evaluated the effectiveness of this framework …

… Intrusion detection is the most reliable approach to protect vehicular networks against
threats as it has the ability to detect insider and external attacks with high accuracy [2]. Some …

… -based collaborative intrusion detection framework on securing vehicular networks, and the
… high vehicle mobility of VANET. The abovementioned methods focus either on the misuse …

… module, TrustRL, yet another trust model without the use of role based vehicles and TrustDM
the final model representing the frameworks model without the intrusion detection module. …

… more issues and challenges in designing efficient and safe routing. Moreover, most existing
trust management schemes in vehicular networks are based on critical public infrastructure, …

… is to provide a secure system to guarantee the … Intrusion Detection System (IDS) for the
automotive sector is introduced. It works by adopting a two-step algorithm that provides detection …

… paradigm that distributes the intrusion detection tasks among a … deploying the detection
models in the vehicle. This integrates … node in the autonomous vehicle network has only one IDS …

… [12] proposed an intrusion detection algorithm called DCDIV that employs an invariant
based distributed collaborative framework. The main focus of the paper is intrusion detection of …

… Therefore, we present a CGANbased collaborative intrusion detection algorithm based on
blockchain-empowered distributed federated learning to address these problems. The details …