Design and implementation of an intrusion detection system using MLP-NN for MANET
Innocent Mapanga, Vinod Kumar, Wellington Makondo, Tripathi Kushboo, Prudence Kadebu, Wadzanayi Chanda · 2017
Communication in Mobile Ad hoc (MANETS) networks for end-to-end delivery of packets is achieved cooperatively. This model assumes that an intermediary node will always forward traffic originating from other nodes willingly, other than traffic emanating from the node itself. Conversely, in hostile environments where we find most applications of our ad hoc networks, an always cooperative and submissive behavior on behalf of the other nodes of the network cannot be presumed as the ultimate action undertaken by all the nodes. Our focus in this paper is on detecting the presence of malicious nodes that selectively or randomly drop packets intended for other destination nodes, we further classify each packet drop attack, according to its attack type by observing and analysing how each packet drop attack affect the network characteristics. Using a simulated MANET environment and MLP-NN modelling we can illustrate an Intrusion detection System that can successfully detect malicious packet dropping attacks with great accuracy.