Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3361-3364

Anomaly detection algorithm based on OCSVM double contour model of genetic algorithm optimization for industrial control system

Yan Tengfei1,2,3
Shang Wenli2,3,4
Zhao Jianming2,3,4
Qiao Feng1
Zeng Peng2,3,4
1. Faculty of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China
2. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3. Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China
4. University of Chinese Academy of Sciences, Beijing 100049, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0313

Abstract

The Modbus industry bus protocol is special, and the network intrusion data sample of industrial control system is not balanced. So this paper used OCSVM to construct double contour model combining normal OCSVM model, and abnormal OCSVM model to simulate the normal mode and abnormal mode of system communication. Then it realized the abnormal detection of industrial control system. In order to prevent the OCSVM model from overfitting and the low accuracy of classification, this paper applied the genetic algorithm to the industrial control network by optimizing the dimensionality reduction of the independent variable. This method improved the accuracy of the anomaly detection and reduced the modeling time. Simulation results show that the proposed algorithm is effective for anomaly detection of industrial network.

Foundation Support

国家重点研发计划项目(2018YFB2004200)
中科院战略性先导科技专项项目(XDC02020200)
国家自然科学基金面上项目(61773368)
预研基金资助项目(614024201011 6Zk63001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0313
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Technology of Information Security
Pages: 3361-3364
Serial Number: 1001-3695(2019)11-036-3361-04

Publish History

[2019-11-05] Printed Article

Cite This Article

闫腾飞, 尚文利, 赵剑明, 等. 基于遗传算法优化的OCSVM双轮廓模型异常检测算法 [J]. 计算机应用研究, 2019, 36 (11): 3361-3364. (Yan Tengfei, Shang Wenli, Zhao Jianming, et al. Anomaly detection algorithm based on OCSVM double contour model of genetic algorithm optimization for industrial control system [J]. Application Research of Computers, 2019, 36 (11): 3361-3364. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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