Malicious Attack-resistant Secure Localization Algorithm for ZigBee Network

YU Bin; LIU Ziqing

doi:10.11999/JEIT170962

Volume 40 Issue 7

Jul. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(7): 1676-1683

YU Bin, LIU Ziqing. Malicious Attack-resistant Secure Localization Algorithm for ZigBee Network[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1676-1683. doi: 10.11999/JEIT170962

Citation:

YU Bin, LIU Ziqing. Malicious Attack-resistant Secure Localization Algorithm for ZigBee Network[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1676-1683. doi: 10.11999/JEIT170962

YU Bin, LIU Ziqing. Malicious Attack-resistant Secure Localization Algorithm for ZigBee Network[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1676-1683. doi: 10.11999/JEIT170962

Citation:

YU Bin, LIU Ziqing. Malicious Attack-resistant Secure Localization Algorithm for ZigBee Network[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1676-1683. doi: 10.11999/JEIT170962

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Malicious Attack-resistant Secure Localization Algorithm for ZigBee Network

doi: 10.11999/JEIT170962

YU Bin,
LIU Ziqing

YU Bin LIU Ziqing

Funds:

The Key Laboratory of Information Assurance Technology Open Fund (KJ-15-104)

Received Date: 2017-10-19
Rev Recd Date: 2018-03-22
Publish Date: 2018-07-19

Abstract

Abstract

A malicious attack-resistant secure localization algorithm Evolutionary Location Algorithm with the Maximum Probability value (ELAMP) based on evolutionism is proposed. According to the maximum likelihood estimation probability model and the distribution of Received Signal Strength (RSS) standard deviation and the distance, a secure location model of ZigBee network is established. Furthermore, the evolutionary algorithm is designed to solve the model, and the convergence and the time complexity of the algorithm is analyzed. Experimental results show that the proposed algorithm has better positioning accuracy than the existing positioning algorithm when the proportion of malicious nodes is not more than 50%.
- Secure location、ZigBee、Evolutionary algorithm、Recived Signal Strength (RSS)、Malicious attack,

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References(19)

References

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