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Security and Communication Networks
Volume 2017, Article ID 6102780, 12 pages
https://doi.org/10.1155/2017/6102780
Research Article

Research on Secure Localization Model Based on Trust Valuation in Wireless Sensor Networks

1School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Jiangsu Province, Nanjing 210003, China

Correspondence should be addressed to Peng Li; nc.ude.tpujn@gnepil

Received 5 October 2016; Revised 6 January 2017; Accepted 19 January 2017; Published 8 March 2017

Academic Editor: Qing Yang

Copyright © 2017 Peng Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Secure localization has become very important in wireless sensor networks. However, the conventional secure localization algorithms used in wireless sensor networks cannot deal with internal attacks and cannot identify malicious nodes. In this paper, a localization based on trust valuation, which can overcome a various attack types, such as spoofing attacks and Sybil attacks, is presented. The trust valuation is obtained via selection of the property set, which includes estimated distance, localization performance, position information of beacon nodes, and transmission time, and discussion of the threshold in the property set. In addition, the robustness of the proposed model is verified by analysis of attack intensity, localization error, and trust relationship for three typical scenes. The experimental results have shown that the proposed model is superior to the traditional secure localization models in terms of malicious nodes identification and performance improvement.