基于贝叶斯声誉评估模型的无线传感器网络安全防御策略

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IET Communications Pub Date : 2023-12-14 DOI:10.1049/cmu2.12700
Zhijun Teng, Sian Zhu, Mingzhe Li, Libo Yu, Jinliang Gu, Liwen Guo
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引用次数: 0

摘要

为了解决无线传感器网络中恶意节点带来的安全问题,本文提出了一种基于时间序列分析的 TS-BRS 信誉模型。利用时间序列分析方法,对两个时间序列进行匹配分析,减少信道冲突对信誉评价模型的干扰,提高模型识别的准确性。为了提高评价模型的适应性,在信用值更新中引入了自适应维护函数μ,加重了现阶段节点行为对信用值的影响。仿真结果表明,新的信誉评价模型能有效提高网络中恶意节点的检测率和检测速度。引入维护功能后,网络中被捕获的恶意节点的信誉值收敛速度更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Wireless sensor network security defense strategy based on Bayesian reputation evaluation model

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.

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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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