Performance Analysis of Efficiently trusted AODV serving Security in MANET under Blackhole Attack Using Genetic Algorithm

The mobile nodes or systems in mobile ad hoc networks wirelessly transmit binary data. The topology of the network is dynamic. Therefore, because of the network's wireless nature, sensitive data is vulnerable to uninvited external attackers, sometimes known as data theft or loss by an attacking or malicious node For the network to operate more efficiently and to preserve safe connectivity, these hostile nodes must be identified. A trust based routing protocol is proposed here with genetic algorithm to identify the attack in MANET using AODV protocol. The performance analysis is made using NS2 simulator with AODV under attack and with proposed trusted algorithm(ETSAODV) using GA under blackhole attack. In terms of network lifetime and characteristics like throughput and packet delivery ratio in simulation, it maximises the network's performance.