Faculty Publications
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Item An effective analysis on intrusion detection systems in wireless mesh networks(Institute of Electrical and Electronics Engineers Inc., 2017) Karri, K.G.; Raju, V.P.; Santhi Thilagam, P.S.Intrusion Detection Systems(IDSs) are widely used to detect both known attacks and unknown attacks performed by internal and external attackers in wireless networks. However, challenging issues for developing IDSs inWireless Mesh Networks (WMNs) are 1) supporting interoperability and 2) handling volatile parameters. In addition, security standards for WMN are still in draft stage, and to protect the WMN, IDSs of similar wireless networks such as wireless sensor, Ad-Hoc, MANET can be adopted, but the best performance is not guaranteed. In this paper, we have classified the existing IDSs for wireless networks into four categories namely single layer IDS, cross-layer IDS, reputation-based IDS, reputation based cross-layer IDS, and analyzed the performance of these IDSs with core-layer attacks and detection methodology. Based on our analysis, we address the loopholes in existing IDSs and specify research directions for strengthening the existing IDSs and for developing new efficient IDSs with respect to backbone mesh and client mesh networks. © 2017 IEEE.Item Reputation-based cross-layer intrusion detection system for wormhole attacks in wireless mesh networks(John Wiley and Sons Inc 410 Park Avenue, 15th Floor, 287 pmb New York NY 10022, 2014) Karri, G.R.; Santhi Thilagam, P.Wireless mesh networks provide long-distance wireless network connectivity over heterogeneous devices for greater scalability and availability. However, protecting legitimate long-distance wireless links from wormhole attacks is an important yet challenging security issue in wireless mesh networks. In this paper, we propose a reputation-based cross-layer intrusion detection system to effectively detect various wormhole attacks. The proposed system analyses the behaviours of the routing paths in wireless mesh networks to correctly isolate the malicious wormhole paths from legitimate long-distance wireless links. It uses reputation and cross-layer parameters for comprehensive ability to isolate the wormhole attacks in routing paths. This isolation ensures full utilisation of legitimate long-distance wireless links in wireless mesh networks, which is not possible with the existing wormhole attack detection approaches. Experimental results show that the proposed system increases the detection rate, decreases the false alarm rate, and secures legitimate long-distance wireless links in wireless mesh networks. © 2014 John Wiley & Sons, Ltd.