Detect and Prevent Active and Passive Attack in Autonomous Mobile Network

In Autonomous Mobile Networks (AMNs), nodes regularly collaborate as well as transmit all packets to facilitate out of range transaction. Though, in unfriendly surroundings, several nodes might reject for preserve their own senders or for intentionally disrupting regular communications. Ina addition, the node mobility to handles the active and passive attacks. To overcome these problems, in this article Detect and Prevent Active and Passive Attack in Autonomous Mobile Network (DPAP) is introduced. Here, faithful forwarder node is chosen based on the vicinity information as well as connectivity of node. The active attacker node is detected by three hop verification method. In addition, the Binomial Pascal triangle function (BPTF) is applied for concealing the node uniqueness as a result; it recognizes the passive attack in the AMN. The DPAP approach is measured by applying a network simulator-2 for recognizing the active and passive attacker in the AMN. Simulation output illustrates the DPAP offer better throughput and detection ratio in the AMN.