SIA OpenIR  > 工业控制网络与系统研究室
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)
Department工业控制网络与系统研究室
Conference Name2016 6th International Conference on Communication and Network Security, ICCNS 2016
Conference DateNovember 12-14, 2016
Conference PlaceSingapore, Singapore
Source Publication2016 6th International Conference on Communication and Network Security, ICCNS 2016
PublisherACM
Publication PlaceNew York
2016
Pages77-82
Indexed ByEI
EI Accession number20171103436183
Contribution Rank1
ISBN978-1-4503-4783-9
KeywordIndustrial Control Network Intrusion Detection Modbus/tcp Feature Extraction Svm
AbstractThe 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.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/20183
Collection工业控制网络与系统研究室
Corresponding AuthorShang WL(尚文利)
Affiliation1.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
Recommended Citation
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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