Publication

Abstract : The vehicular ad hoc network (VANET) facilitates communication between automobiles, pedestrians, trucks, motorbikes, and trains. Mobile Ad hoc Networks are the ancestor of VANETs. Due to the fact that broadcast messages are used for vehicle-to-vehicle communication, vehicular ad hoc networking is vulnerable to malicious assault. The packet will be dropped and the message can be altered by malicious users. This is the prominent issue that needs to be concentrated more. Black hole attack is the major attack in VANET, which tries to hack the entire communication network by dropping the transmitted packet or by introducing itself as a node having the shortest path. The whole network and routing path get affected leading to an injection of false messages and trying to divert the node user. To avoid communication with an attacked node, a Trust-Based Authentication Scheme can be used to choose a genuine node for communication or sending packets. Fuzzy logic can be used to evaluate the nodes as an attacked node or genuine node. In this chapter, FATS (Fuzzy Authentication to provide Trust-Based Security) is used to find black hole node and block the node from communication. FATS system uses Trust factor as the major parameter to estimate a genuine node from a malicious node. The simulation is carried out in MATLAB for parameter estimation and implemented using Network Simulator 2.28 software.