Detecting Colluding Blackhole and Greyhole Attacks in Delay Tolerant Networks
Abstract—Detecting Colluding Blackhole and Greyhole Attacks in Delay Tolerant Networks. Delay Tolerant Network < Final Year Projects 2016 > DTN is developed to cope with intermittent connectivity and long delay in wireless networks. Due to the limited connectivity, DTN is vulnerable to black hole and grey hole attacks in which malicious nodes intentionally drop all or part of the he received messages. Although existing proposals could accurately detect the attack launched by individuals, they fail to tackle the case that malicious nodes cooperate with each other to cheat the defense system. In this paper, we suggest a scheme called Statistical-based Detection of Blackhole and Greyhole attackers (SDBG) to address both individual and collusion attacks. Nodes are required to exchange their encounter record histories, based on which other nodes can evaluate their forwarding behaviors.
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