Wireless sensor network security defense strategy based on Bayesian reputation evaluation model
Abstract In order to solve the security problems caused by malicious nodes in wireless sensor networks, a TS‐BRS reputation model based on time series analysis is proposed in this paper. By using the time series analysis method, the matching analysis of two time series is carried out to reduce the i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | IET Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cmu2.12700 |
| _version_ | 1797353635918643200 |
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| author | Zhijun Teng Sian Zhu Mingzhe Li Libo Yu Jinliang Gu Liwen Guo |
| author_facet | Zhijun Teng Sian Zhu Mingzhe Li Libo Yu Jinliang Gu Liwen Guo |
| author_sort | Zhijun Teng |
| collection | DOAJ |
| description | Abstract In order to solve the security problems caused by malicious nodes in wireless sensor networks, a TS‐BRS reputation model based on time series analysis is proposed in this paper. By using the time series analysis method, the matching analysis of two time series is carried out to reduce the interference of channel conflicts on the reputation evaluation model and improve the accuracy of model recognition. In order to improve the adaptability of the evaluation model, the adaptive maintenance function μ is introduced into the update of credit value, which aggravates the influence of node behaviour on credit value at the present stage. The simulation results show that the new reputation evaluation model can effectively improve the detection rate and detection speed of malicious nodes in the network. After the introduction of maintenance function, the reputation value of the captured malicious nodes in the network has a faster convergence speed. |
| first_indexed | 2024-03-08T13:33:53Z |
| format | Article |
| id | doaj.art-ec11386a43b448b6b2005251cff3a231 |
| institution | Directory Open Access Journal |
| issn | 1751-8628 1751-8636 |
| language | English |
| last_indexed | 2024-03-08T13:33:53Z |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Communications |
| spelling | doaj.art-ec11386a43b448b6b2005251cff3a2312024-01-17T02:51:21ZengWileyIET Communications1751-86281751-86362024-01-01181556210.1049/cmu2.12700Wireless sensor network security defense strategy based on Bayesian reputation evaluation modelZhijun Teng0Sian Zhu1Mingzhe Li2Libo Yu3Jinliang Gu4Liwen Guo5Northeast Electric Power UniversityKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology & Ministry of Education Jilin ChinaSchool of Electrical Engineering Northeast Electric Power University Jilin ChinaSchool of Electrical Engineering Northeast Electric Power University Jilin ChinaSchool of Electrical Engineering Northeast Electric Power University Jilin ChinaSchool of Electrical Engineering Northeast Electric Power University Jilin ChinaLongsailing, Dalian City Dalian ChinaAbstract In order to solve the security problems caused by malicious nodes in wireless sensor networks, a TS‐BRS reputation model based on time series analysis is proposed in this paper. By using the time series analysis method, the matching analysis of two time series is carried out to reduce the interference of channel conflicts on the reputation evaluation model and improve the accuracy of model recognition. In order to improve the adaptability of the evaluation model, the adaptive maintenance function μ is introduced into the update of credit value, which aggravates the influence of node behaviour on credit value at the present stage. The simulation results show that the new reputation evaluation model can effectively improve the detection rate and detection speed of malicious nodes in the network. After the introduction of maintenance function, the reputation value of the captured malicious nodes in the network has a faster convergence speed.https://doi.org/10.1049/cmu2.12700Bayes methodscognitive radiotelecommunication securitywireless LANwireless sensor networks |
| spellingShingle | Zhijun Teng Sian Zhu Mingzhe Li Libo Yu Jinliang Gu Liwen Guo Wireless sensor network security defense strategy based on Bayesian reputation evaluation model IET Communications Bayes methods cognitive radio telecommunication security wireless LAN wireless sensor networks |
| title | Wireless sensor network security defense strategy based on Bayesian reputation evaluation model |
| title_full | Wireless sensor network security defense strategy based on Bayesian reputation evaluation model |
| title_fullStr | Wireless sensor network security defense strategy based on Bayesian reputation evaluation model |
| title_full_unstemmed | Wireless sensor network security defense strategy based on Bayesian reputation evaluation model |
| title_short | Wireless sensor network security defense strategy based on Bayesian reputation evaluation model |
| title_sort | wireless sensor network security defense strategy based on bayesian reputation evaluation model |
| topic | Bayes methods cognitive radio telecommunication security wireless LAN wireless sensor networks |
| url | https://doi.org/10.1049/cmu2.12700 |
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