WSN Bayes Reputation Evaluation Model Based on Time Series Information Analysis
[1]Teng Zhijun,Guo Liwen,Lu Jinling,et al.WSN Bayes Reputation Evaluation Model Based on Time Series Information Analysis[J].Journal of Zhengzhou University (Engineering Science),2019,40(01):38-43.[doi:10.13705/j.issn.1671-6833.2019.01.007]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40
Number of periods:
2019 01
Page number:
38-43
Column:
Public date:
2019-01-10
- Title:
- WSN Bayes Reputation Evaluation Model Based on Time Series Information Analysis
- CLC:
- -
- Abstract:
- In order to effectively reduce the influence of channel occupancy on the reputation evaluation of nodes,and to improve the accuracy of the reputation model,to track the data interrupt attacks and selective forwarding attacks, a TS-BRS reputation model was presented based on time series information analysis to evaluate the behavior of nodes. Considering the influence of channel state on network node behavior time series and channel state time series.And ithe adaptive maintenance function μ was also introduced to update reputation value, add the influence of node behavior on reputation value in reappearing stage, and improve the adaptability of evaluation model. The simulation results showed that the new reputation evaluation model could effectively improve the detection rate and detection speed for malicious nodes.The reputation value of a mailcious node could converge more quickly.
- References:
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- Similar References:
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Last Update:
2019-03-02
