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Title: SecMCL : a secure Monte Carlo localization algorithm for mobile sensor networks
Authors: Zeng, Y
Cao, J 
Hong, J
Zhang, S
Xie, L
Issue Date: 2009
Source: 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09, 2009, 5337010, p. 1054-1059 How to cite?
Abstract: Recently with the emergence of mobile sensor networks, localization for such networks has gained much attention, and many localization algorithms have been proposed. Among them the Sequential Monte Carlo (SMC) based algorithms are very popular because of their simplicity and efficiency. However, most current SMC-based localization algorithms implicitly assume there is no attacker in the network, which may not be true in real applications. The attackers, if any, may send false information by themselves or through compromised nodes to disturb the localization. In this paper, we present the design and evaluation of a Secure Monte Carlo Localization algorithm, SecMCL. SecMCL provides authentication to messages and employs a new sampling method to defeat attacks. Simulation results show that SecMCL greatly improves the localization accuracy of existing SMC-based localization method when there are attacks. Also, compared with existing SMC localization method, SecMCL incurs no communication cost (in terms of number of messages) and achieves the same localization accuracy when there is no attack.
Description: 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09, Macau, 12-15 October 2009
ISBN: 9781424451135
DOI: 10.1109/MOBHOC.2009.5337010
Appears in Collections:Conference Paper

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