Identification and Eradication of Attacker Node in a Mobile Ad-Hoc Network Environment Using Prediction Model on Delay Factor

Mobile ad-hoc network (MANET) is a theoretical and experimental approach for achieving the applications to the best using VANETs. Given the mobility of nodes in the mobile ad-hoc networks, it is hard to depict the nature of the network or the structure of the network. With static nodes, it is easy to monitor a network. In a mobile environment, any node can come and join the network based on the distance covered by the entire network. A node that enters the region joins the network, while one that moves away leaves it and ceases participating in network communication. The routing table is updated, based on the movement of the nodes. Owing to the factors above, security fails to live up to expectations. Identifying a vulnerable node is a difficult proposition. This paper offers a prediction model based on the delay factor, which impacts the performance of the node and its network. The experimental results determine the malicious node. A malicious node is disconnected from the network.