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单类支持向量机在工业控制系统入侵检测中的应用研究综述
Alternative TitleOverview of one class support vector machine in intrusion detection of industrial control system
李琳; 尚文利; 姚俊; 赵剑明; 曾鹏
Department工业控制网络与系统研究室
Source Publication计算机应用研究
ISSN1001-3695
2016
Volume33Issue:1Pages:7-11
Indexed ByCSCD
CSCD IDCSCD:5611797
Contribution Rank1
Funding Organization国家“863”计划资助项目(2015AA043901)
Keyword工业控制系统 入侵检测 单类支持向量机 通信协议
Abstract通信行为的异常检测是工业控制系统入侵检测的难点问题。本文在目前现有研究工作基础上,阐述了工业控制系统入侵检测技术的国内外研究现状,归纳和总结了现存的问题,指出单类支持向量机(OCSVM)算法在工业控制系统入侵检测中的优越性。结合工业控制系统的专有协议特点,介绍了单类支持向量机在工业控制系统入侵检测中应用原理及其现有工作。最后指单类支持向量机在工业控制系统入侵检测中存在的问题及发展方向。
Other AbstractAnomaly detection based on communication behavior is a difficult problem in intrusion detection of industrial control systems. This paper described the research status of intrusion detection technology of industrial control system. summarized the existing problems on the basis of the existing studies. and pointed out the superiority of one-class support vector machine (OCSVM) algorithm in intrusion detection of industrial control systems. This paper introduced principle and the existing work of one-class support vector machine in intrusion detection of industrial control systems combines features of proprietary protocols of industrial control systems. In the end. it refers to problems and development direction of one-class support vector machine in intrusion detection of industrial control systems.
Language中文
Citation statistics
Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/17321
Collection工业控制网络与系统研究室
Corresponding Author李琳
Affiliation1.沈阳理工大学自动化与电气工程学院
2.中国科学院沈阳自动化研究所
3.中国科学院网络化控制系统重点实验室
Recommended Citation
GB/T 7714
李琳,尚文利,姚俊,等. 单类支持向量机在工业控制系统入侵检测中的应用研究综述[J]. 计算机应用研究,2016,33(1):7-11.
APA 李琳,尚文利,姚俊,赵剑明,&曾鹏.(2016).单类支持向量机在工业控制系统入侵检测中的应用研究综述.计算机应用研究,33(1),7-11.
MLA 李琳,et al."单类支持向量机在工业控制系统入侵检测中的应用研究综述".计算机应用研究 33.1(2016):7-11.
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