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Detecting Inner Attackers and Colluded nodes in Wireless Sensor Networks Using Hop-depth algorithm  

Rhee, Kang-Hyeon (Dept. of Electronic Eng., College of Elec-Info Eng., Chosun University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.44, no.1, 2007 , pp. 113-121 More about this Journal
Abstract
Commonly, in the Sensor Network that composed with multiple nodes uses Ad-hoc protocol to communicate each other. Each sensed data packets are collected by base node and processed by Host PC. But the Ad-hoc protocol is too vulnerable to Sinkhole attack, where the intruder attracts surrounding nodes with unfaithful routing information, and then performs selective forwarding or changes the data passing through it. The Sinkhole attack increases overhead over the network and boosts energy consumption speed to decrease network's life time. Since the other attacks can be easily adopted through sinkhole attack, the countermeasure must be considered carefully. In this paper, we proposed the Hop-depth algorithm that detects intruder in Sinkhole attack and colluded nodes. First, the proposed algorithm makes list of suspected nodes and identifies the real intruder in the suspected node list through the Hop-depth count value. And recalculates colluder's path information to find the real intruder. We evaluated the performance of the proposed algorithm using NS2. We compared and analyzed the success ratio of finding real intruder, false positive ratio, false negative ratio, and energy consumption.
Keywords
Hop-depth; Sinkhole; malicious node; misdirecting;
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