Defense against Prankster Attack in VANET Using Genetic Algorithm

Objectives: Detection and prevention of prankster attack in the network. One of the popular attacks in VANET is prankster attack that is affecting at high rate in the performance of the system. Method: In this paper, an algorithm based on genetic optimization has been presented for prevention as well detection of the attack. The genetic algorithm will work on the fitness function to prevent the prankster attack and the whole simulation will be done in MATLAB 2010 scenario. Findings: From the result evaluation it has been seen that proposed algorithm is better in terms of throughput, error rate, and delay and energy consumption. Improvement: Performance of the network get enhanced highly.