中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modbus communication behavior modeling and SVM intrusion detection method

文献类型:会议论文

作者Shang WL(尚文利); Cui JR(崔君荣); Wan M(万明); An PF(安攀峰); Zeng P(曾鹏)
出版日期2016
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
关键词Industrial control network intrusion detection Modbus/TCP feature extraction SVM
页码77-82
通讯作者尚文利
中文摘要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.
收录类别EI
产权排序1
会议录2016 6th International Conference on Communication and Network Security, ICCNS 2016
会议录出版者ACM
会议录出版地New York
语种英语
ISBN号978-1-4503-4783-9
源URL[http://ir.sia.cn/handle/173321/20183]  
专题沈阳自动化研究所_工业控制网络与系统研究室
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]. 见:2016 6th International Conference on Communication and Network Security, ICCNS 2016. Singapore, Singapore. November 12-14, 2016.

入库方式: OAI收割

来源:沈阳自动化研究所

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