A Novel Approach for Efficient Usage of Intrusion Detection System in Mobile Ad Hoc Networks
Mobile ad hoc networks (MANETs) are self-configuring infrastructureless dynamic wireless networks in which the nodes are resource constrained. Intrusion detection systems (IDSs) are used in MANETs to monitor activities to detect any intrusion in the otherwise vulnerable network. In this paper, we present efficient schemes for analyzing and optimizing the time duration for which the IDSs need to remain active in a MANET. A probabilistic model is proposed, which makes use of cooperation between IDSs among neighborhood nodes to reduce their individual active time. Typically, an IDS has to run all the time on every node to oversee network behavior. This can turn out to be a costly overhead for a battery-powered mobile device in terms of power and computational resources. Hence, in this work, our aim is to reduce the duration of active time of the IDSs without compromising their effectiveness. To validate our proposed approach, we model the interactions between IDSs as a multiplayer cooperative game in which the players have partially cooperative and partially conflicting goals.We theoretically analyze this game and support it with simulation results.
N. Marchang et al., "A Novel Approach for Efficient Usage of Intrusion Detection System in Mobile Ad Hoc Networks," IEEE Transactions on Vehicular Technology, vol. 66, no. 2, pp. 1684-1695, Institute of Electrical and Electronics Engineers (IEEE), Feb 2017.
The definitive version is available at https://doi.org/10.1109/TVT.2016.2557808
Keywords and Phrases
Ad hoc networks; Computer crime; Energy efficiency; Intrusion detection; Mercury (metal); Mobile devices; Network security; Wireless ad hoc networks; Computational resources; Dynamic wireless networks; Efficient schemes; Infrastructureless; Intrusion Detection Systems; Mobile adhoc network (MANETs); Network behaviors; Probabilistic modeling; Mobile ad hoc networks
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© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Feb 2017