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Trust evaluation model with entropy-based weight assignment for malicious node’s detection in wireless sensor networks

Authors
  • Yin, Xueqiang1, 2
  • Li, Shining1
  • 1 Northwestern Polytechnical University, School of Computer Science, Xi’an, 710029, People’s Republic of China , Xi’an (China)
  • 2 The 15th Research Institute of China Electronic Technology Group Corporation, Beijing, 100083, People’s Republic of China , Beijing (China)
Type
Published Article
Journal
EURASIP Journal on Wireless Communications and Networking
Publisher
Springer International Publishing
Publication Date
Aug 06, 2019
Volume
2019
Issue
1
Identifiers
DOI: 10.1186/s13638-019-1524-z
Source
Springer Nature
Keywords
License
Green

Abstract

Trust management is considered as an effective complementary mechanism to ensure the security of sensor networks. Based on historical behavior, the trust value can be evaluated and applied to estimate the reliability of the node. For the analysis of the possible attack behavior of malicious nodes, we proposed a trust evaluation model with entropy-based weight assignment for malicious node’s detection in wireless sensor networks. To mitigate the malicious attacks such as packet dropping or packet modifications, multidimensional trust indicators are derived from communication between adjacent sensor nodes, and direct and indirect trust values will be estimated based on the corresponding behaviors of those sensor nodes. In order to improve the validity of trust quantification and ensure the objectivity of evaluation, the entropy weight method is applied to determine the proper value of the weight. Finally, the indirect trust value and direct trust value are synthesized to obtain the overall trust. Experimental results show that the proposed scheme performs well in terms of the identification of malicious node.

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