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Modbus communication behavior modeling and SVM intrusion detection method
Shang WL(尚文利); Cui JR(崔君荣); Wan M(万明); An PF(安攀峰); Zeng P(曾鹏)
作者部门工业控制网络与系统研究室
会议名称2016 6th International Conference on Communication and Network Security, ICCNS 2016
会议日期November 12-14, 2016
会议地点Singapore, Singapore
会议录名称2016 6th International Conference on Communication and Network Security, ICCNS 2016
出版者ACM
出版地New York
2016
页码77-82
收录类别EI
EI收录号20171103436183
产权排序1
ISBN号978-1-4503-4783-9
关键词Industrial Control Network Intrusion Detection Modbus/tcp Feature Extraction Svm
摘要The security and typical attack behavior of Modbus/TCP industrial network communication protocol are analyzed. The data feature of traffic flow is extracted through the operation mode of the depth analysis abnormal behavior, and the intrusion detection method based on the support vector machine (SVM) is designed. The method analyzes the data characteristics of abnormal communication behavior, and constructs the feature input structure and detection system based on SVM algorithm by using the direct behavior feature selection and abnormal behavior pattern feature construction. The experimental results show that the method can effectively improve the detection rate of abnormal behavior, and enhance the safety protection function of industrial network.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/20183
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 Science, China
2.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China
3.Faculty of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, 110159, China
推荐引用方式
GB/T 7714
Shang WL,Cui JR,Wan M,et al. Modbus communication behavior modeling and SVM intrusion detection method[C]. New York:ACM,2016:77-82.
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