Performance Analysis of Node Classification to Secure Intelligent Transportation System in VANET

Vehicle-to-vehicle networks have no defined structure (VANETs). As a result of linking the cars and exchanging data between the source and destination, VANET creates many mobility vehicles that go in separate directions. Vehicles and other gadgets act as nodes in a tiny network produced by this technology. The network is vulnerable to a variety of attacks. An attacker could be either an insider or an outsider. By sending fake messages and breaking up network connections sent by an insider attacker, the network may be jammed. Cryptographic techniques have been used to guarantee data privacy and secrecy. VANET makes use of appropriate hardware to enhance network performance on occasion to improve communication. It is important to ensure that systems are reliable to carry out the necessary operations and processes depending on the current circumstances. The attacker attempts to harm the server to disrupt the VANETS. Detection of falsification nodes by studying model behavior is a current research area. Considering the accuracy of existing research proposed work is performing classification for secure and insecure nodes.