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Title: Pollution attack : a new attack against localization in wireless sensor networks
Authors: Zeng, Y
Cao, J 
Zhang, S
Guo, S
Xie, L
Issue Date: 2009
Source: IEEE Wireless Communications and Networking Conference, WCNC, 2009, 4917910 How to cite?
Abstract: Many secure localization algorithms have been proposed. In these algorithms, collusion attack is usually considered as the strongest attack when evaluating their performance. Also, for ensuring correct localization under the collusion attack, a necessary number of normal beacons are needed and a lower bound on this number has been established (assuming the errors of distance measurements are ignorable). In this paper, we introduce pollution attack, a more powerful attack which can succeed even when the number of normal beacons is more than the lower bound. In this attack, victim node is misled to a special chosen location, which results in a confusion of compromised beacon with normal beacon. We propose a new metric to measure the vulnerability of a normal location reference set to pollution attack, and develop two algorithms to efficiently compute the value of the proposed metric. We also present a method to judge whether the output of the localization algorithm is credible under pollution attack. Simulation results show that the pollution attack can succeed with high probability.
Description: 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009, Budapest, 5-8 April 2009
ISBN: 9781424429486
ISSN: 1525-3511
DOI: 10.1109/WCNC.2009.4917910
Appears in Collections:Conference Paper

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