An Efficient Intrusion Detection System for Selective Forwarding and Clone Attackers in IPv6-based Wireless Sensor Networks under Mobility

Fatma Gara, Leila Ben Saad and Rahma Ben Ayed
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Fatma Gara: ENIT, Tunis, Tunisia
Leila Ben Saad: University of Agder, Grimstad, Norway
Rahma Ben Ayed: ENIT, Tunis, Tunisia

International Journal on Semantic Web and Information Systems (IJSWIS), 2017, vol. 13, issue 3, 22-47

Abstract: Security in mobile wireless sensor networks is a big challenge because it adds more complexity to the network in addition to the problems of mobility and the limited sensor node resources. Even with authentication and encryption mechanisms, an attacker can compromise nodes and get all the keying materials. Therefore, an intrusion detection system is necessary to detect and defend against the insider attackers. Currently, there is no intrusion detection system applied to IPv6-based mobile wireless sensor networks. This paper is mainly interested in detecting the selective forwarding and clone attacks because they are considered among the most dangerous attackers. In this work, the authors design, implement, and evaluate a novel intrusion detection system for mobile wireless sensor networks based on IPv6 routing protocol for low power and lossy networks. The new intrusion detection system can be extended to other attacks such as wormhole and sybil attacks. The simulations results show that the detection probability is 100% for selective attackers under some cases.

Date: 2017
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