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Research on Industrial Control Anomaly Detection Based on FCM and SVM
Shang WL(尚文利)1,2; Cui JR(崔君荣)1,3; Song CH(宋纯贺)1,2; Zhao JM(赵剑明)1,2; Zeng P(曾鹏)1,2
作者部门工业控制网络与系统研究室
会议名称17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
会议日期July 31 - August 3, 2018
会议地点New York
会议主办者Columbia University ; IEEE ; IEEE Computer Society ; IEEE STC Smart Computing ; IEEE TCSC ; North America Chinese Talents Association
会议录名称Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
出版者IEEE
出版地New York
2018
页码218-222
收录类别EI
EI收录号20184005895626
产权排序1
ISBN号978-1-5386-4387-7
关键词industrial control system Modbus communication protocol intrusion detection fuzzy C-means clustering supervised support vector (SVM)
摘要In order to solve the problem of virus and Trojan attacking the application layer network protocol of industrial control system, the rule of Modbus/TCP communication protocol is analyzed. An intrusion detection method based on clustering and support vector machine is proposed. The method combines unsupervised fuzzy C-means clustering (FCM) with supervised support vector (SVM) machine to calculate the distance between industrial control network communication data and cluster center. Partial data satisfying the threshold condition is further classified by support vector machine. Experimental results show that compared with the traditional intrusion detection method, this method can effectively reduce the training time and improve the classification accuracy without needing to know the class label in advance.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/23361
专题工业控制网络与系统研究室
通讯作者Shang WL(尚文利)
作者单位1.Shenyang Institute of Automation, Chinese, Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, China
推荐引用方式
GB/T 7714
Shang WL,Cui JR,Song CH,et al. Research on Industrial Control Anomaly Detection Based on FCM and SVM[C]//Columbia University, IEEE, IEEE Computer Society, IEEE STC Smart Computing, IEEE TCSC, North America Chinese Talents Association. New York:IEEE,2018:218-222.
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