K.Kirubani, S.P.Anbukodi
The migration to wireless network form wired network has been a worldwide trend within the past few decades. Among all the up to date wireless networks, Mobile Ad hoc Network (MANET) is one amongst the foremost necessary and distinctive applications. On the contrary to ancient specification, MANET doesn't need a set of network infrastructure; each single node works as each a transmitter and a receiver and they trust their neighbors to relay messages. Nodes communication directly with one another once they are in range intervals constant communication varies. The self-configuring ability of nodes in MANET created it fashionable among vital mission applications like military use or emergency recovery. Unfortunately, the open medium and remote distribution of MANET create it at risk of numerous kinds of attacks. So, it is crucial to develop efficient intrusion-detection mechanisms to protect MANET from attacks. MANET into industrial applications. In this project, we define solid privacy requirements regarding malicious attackers in MANET. Then we propose and implement a new intrusion-detection system named Enhanced Adaptive ACKnowledgment (EAACK) specially designed for MANETs. Compared to contemporary approaches, EAACK demonstrates higher malicious-behavior-detection rates in certain circumstances while does not greatly affect the network performances.