Blockchain Based Collaborative Intrusion Detection System with Privacy Protection in Vehicular Ad Hoc Networks

Abstract

The vehicle group is connected through a wireless network called the Vehicular Ad hoc network (VANET). Vehicle-to Infrastructure Communication and Vehicle-to-Vehicle Communication are the two primary types of communication in VANET. It has developed the seamless flow of data between vehicles and thus enabled researchers to look forward to innovative development in this field. It is a particular type of Mobile ad hoc network (MANET) that can be used to make the right decision about road safety and also critical situations. VANET otherwise known as Intelligent Transport Systems came into limelight when it offered newly available safety applications. VANET is typically produced in an ad-hoc structure using a variety of moving vehicles and connecting equipment connected with one another using wireless technology in order to transfer the necessary sensitive information and form a small network in which the devices and vehicles act as nodes. Due to its features and applications, the VANET has more attractive attention in recent studies. Road safety and efficiency increase is the major aim of adopting VANET technology which periodically broadcast the vehicles in VANET. Blockchain is a critical security mechanism for protecting the anonymity of the vehicles in the network. The primary goal is to digitally store and disseminate information without the ability to alter it. The detection of intrusion vehicles is the other component of the VANET. Because most network systems operate on an open network, it is simple to attack vehicle nodes by forwarding misleading information to intruders. In collaborative systems, intrusion detection is typically accomplished using machine and deep learning methods. Most works have failed to identify intrusion, which is required to protect the safety of the vehicles. As a result, the goal of this work is to come up with modernistic approaches for cluster formation, CH selection, and increase security with improved scalability, and integrity collaborative intrusion detection approach. newline newline