机器学习在WSN入侵检测中的应用研究

姜来为; 顾海洋; 谢丽霞; 杨宏宇

doi:10.19665/j.issn1001-2400.20231202

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机器学习在WSN入侵检测中的应用研究

计算机科学与技术 & 网络空间安全 | 更新时间：2024-11-13

- 机器学习在WSN入侵检测中的应用研究
- Research on the application of machine learning to intrusion detection in WSN
- 西安电子科技大学学报 2024年51卷第4期页码：206-225
- 作者机构：
  
  1. 中国民航大学安全科学与工程学院,天津 300300
  2. 中国民航大学计算机科学与技术学院,天津 300300
- 作者简介：
  
  [ "姜来为(1986—),女,讲师,E-mail:[email protected]" ]
  [ "顾海洋(2000—),男,中国民航大学硕士研究生,E-mail:[email protected]" ]
  谢丽霞(1974—),女,教授,E-mail:[email protected]
  [ "杨宏宇(1969—),男,教授,E-mail:[email protected]" ]
- 基金信息：
  
  天津市教委科研计划项目(2020KJ025)
- DOI：10.19665/j.issn1001-2400.20231202
  中图分类号： TP393.08
- 纸质出版日期：2024-08-20，
  
  网络出版日期：2023-12-27，
  
  收稿日期：2023-08-26，
- 稿件说明：
移动端阅览
姜来为, 顾海洋, 谢丽霞, 等. 机器学习在WSN入侵检测中的应用研究[J]. 西安电子科技大学学报, 2024,51(4):206-225.

Laiwei JIANG, Haiyang GU, Lixia XIE, et al. Research on the application of machine learning to intrusion detection in WSN. [J]. Journal of Xidian University, 2024,51(4):206-225.
姜来为, 顾海洋, 谢丽霞, 等. 机器学习在WSN入侵检测中的应用研究[J]. 西安电子科技大学学报, 2024,51(4):206-225. DOI： 10.19665/j.issn1001-2400.20231202.

Laiwei JIANG, Haiyang GU, Lixia XIE, et al. Research on the application of machine learning to intrusion detection in WSN. [J]. Journal of Xidian University, 2024,51(4):206-225. DOI： 10.19665/j.issn1001-2400.20231202.

摘要

随着计算机、通信技术的不断发展

网络经常面临各种各样的攻击。无线传感器网络(Wireless Sensor Network

WSN)的分布式和无线传输等特性使其易于遭受网络攻击

为WSN安全防护方案设计带来了严峻考验。入侵检测是一种积极主动的安全防护技术

是网络攻击检测的重要手段

是保障WSN网络环境安全的关键技术。近年来

机器学习方法在许多领域都取得了巨大的发展

在WSN入侵检测领域取得了一定的应用研究成果。为了便于对WSN入侵检测技术进行深入研究

从WSN的特点和WSN入侵检测研究的独特性出发

对近些年该领域的相关研究进行分类综述。首先

简要介绍了WSN所面临的挑战和发展现状。然后

根据WSN的特点分析了入侵检测在WSN中设计时面临的挑战。随后对WSN入侵检测相关研究进行文献综述与分类

重点对基于机器学习的应用研究方法进行分类论述与探讨。最后

讨论该研究方向未来发展前景与方向

为推动WSN入侵检测领域深入研究与实际应用提供参考。

Abstract

With the continuous development of computer and communication technologies

networks often face a variety of attacks.The distributed and wireless transmission characteristics of the Wireless Sensor Network(WSN) make it easy to suffer from network attacks

which brings a severe test for the design of the WSN security protection program.As an important means of network attack detection

intrusion detection is a proactive security protection technology and a key technology to ensure the security of WSN network environment.In recent years machine learning methods have made tremendous progress in many fields

and have achieved certain application research results in the field of WSN intrusion detection.In order to facilitate the in-depth study of WSN intrusion detection technology

this paper starts from the characteristics of WSN and the uniqueness of WSN intrusion detection research

and categorizes and synthesizes the relevant research in this field in recent years.First

the challenges and development status of the WSN are briefly introduced.Then

the challenges faced when intrusion detection is designed in WSNs are analyzed based on the characteristics of WSNs.Subsequently

literature review and categorization of research related to intrusion detection in WSNs are conducted

focusing on the categorization and discussion of applied research methods based on machine learning.Finally

the future prospects and directions of this research direction are discussed to provide valuable references for promoting in-depth research and practical applications in the field of WSN intrusion detection.

关键词

无线传感器网络安全防护入侵检测机器学习

Keywords

wireless sensor networksafety protectionintrusion detectionmachine learning

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