Volume 14, No 1, 2017
Rule Schema Based Intrusion Detection System In Mobile Ad Hoc Networks
M. LALLI , V. PALANISAMY
Abstract
Mobile Ad Hoc Network (MANET) has turned into an energizing and essential innovation as of latest in view of the fast expansion of wireless gadgets. MANETs are highly vulnerable against attacks because of the progressively topology changing of network, the absence of centralized point for monitoring and open medium. The different attacks against mobile hubs are Warm hole, Byzantine attack, Packet Dropping, Black hole and flooding so on. It is vital to look new architecture and networks to ensure the wireless networks and the application of mobile computing. IDS (Intrusion Detection System) devices are reasonable for distinguishing these attacks. IDS examine the network exercises by method for review information and use examples of surely understood attacks or ordinary profile to recognize potential attacks. In this paper, a framework is proposed to filtering the rule schema in the intrusion detection system of MANET. This framework is composing of three stages. The first stage is pre-processing the dataset to reduce the feature size by utilizing Genetic Algorithm. Then using that reduced dataset, a rule schema is generated using Apriori Association Rule. In the final stage, the rule schema is filtered using Artificial Neural Network. This filtered technique gives more deduction accuracy, less time consumption than the Association Rule generation.
Pages: 66-74
Keywords: Intrusion Detection, MANET, Ant Colony Optimization, Apriori Algorithm, Rule Schema, Artificial Neural Network.