Traffic characteristic map-based intrusion detection model for industrial internet

doi:10.6633/IJNS.201803.20(2).17

	Traffic characteristic map-based intrusion detection model for industrial internet
	Dong, Rui-Hong; Wu, Dong-Fang; Zhang, Qiu-Yu; Zhang, Tao
刊名	International Journal of Network Security
	2018-03-01
卷号	20 期号:2 页码:359-370
关键词	Discrete cosine transforms Hash functions Singular value decomposition Discrete Cosine Transform(DCT) Hash digest Industrial controls Information entropy method Intrusion detection models Network traffic Rule set Singular value decomposition method
ISSN号	1816353X
DOI	10.6633/IJNS.201803.20(2).17
英文摘要	After the Stuxnet security event in Iran, the security issues on industrial Internet are very serious. Besides, there are many aws existing in the modern traffic modelling approaches to the industrial field network. Aiming at these problems, the traffic characteristic map-based intrusion detection model for industrial Internet was proposed. Firstly, information entropy method was adopted to select vital traffic characteristics attributes set which is used to form traffic characteristic vectors. Secondly, multiple correlation analysis approach was applied to transform traffic characteristics vector into triangle area mapping matrix and traffic characteristic map can be established. Finally, using discrete cosine transform (DCT) and singular value decomposition (SVD) methods, perceptual hash digest database of normal and abnormal traffic characteristics maps was obtained. Thereafter, the corresponding intrusion detection rule set can be generated, which is essential for the modelling of network traffic periodic characteristics in industrial field network. In particular, the robustness and discrimination of the traffic characteristics map perceptual hash algorithm (TCM-PH) were proved. Experimental results show that the proposed approach has a good performance of intrusion detection in the industrial field network.
语种	英语
出版者	Femto Technique Co., Ltd.
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114084]
专题	计算机与通信学院
作者单位	School of Computer and Communication, Lanzhou University of Technology, No. 287, Lan-Gong-Ping Road, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Dong, Rui-Hong,Wu, Dong-Fang,Zhang, Qiu-Yu,et al. Traffic characteristic map-based intrusion detection model for industrial internet[J]. International Journal of Network Security,2018,20(2):359-370.
APA	Dong, Rui-Hong,Wu, Dong-Fang,Zhang, Qiu-Yu,&Zhang, Tao.(2018).Traffic characteristic map-based intrusion detection model for industrial internet.International Journal of Network Security,20(2),359-370.
MLA	Dong, Rui-Hong,et al."Traffic characteristic map-based intrusion detection model for industrial internet".International Journal of Network Security 20.2(2018):359-370.