Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 7
2164-2168,2178

Improved method of optimal fish swarm optimization for industrial control network communication anomaly detection

Chen Wanzhi1
Tang Yu1
Zhang Jing2
1. School of Electronic & Information Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
2. China Petroleum Liaohe Equipment Company, Panjin Liaoning 124010, China
DOI: 10.19734/j.issn.1001-3695.2018.01.0099

Abstract

Aiming at typical attack types of industrial control networks, this paper proposed a method of predicting communication anomalies in industrial networks using deep learning. First, it used the principal component analysis of the raw data reduction and eliminated the correlation between the original data set. Secondly, it built artificial neural networks and to optimize the input weights and threshold limits the use of machine learning. It improved the fish swarm algorithm by the idea of particle inertia mass calculation in the gravitational search algorithm. The test experiment results show that it improves the accuracy of anomaly detection, and effectively shortens the detection time. And it realizes the purpose of making use of the depth learning to predict the abnormal behavior of communication in industrial networks.

Foundation Support

辽宁省教育厅服务地方类项目(LJ2017FAL009)
辽宁工程技术大学博士启动基金资助项目(2015-1147)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0099
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Technology of Information Security
Pages: 2164-2168,2178
Serial Number: 1001-3695(2019)07-052-2164-05

Publish History

[2019-07-05] Printed Article

Cite This Article

陈万志, 唐雨, 张静. 工业控制网络通信异常检测的改进鱼群算法优化方法 [J]. 计算机应用研究, 2019, 36 (7): 2164-2168,2178. (Chen Wanzhi, Tang Yu, Zhang Jing. Improved method of optimal fish swarm optimization for industrial control network communication anomaly detection [J]. Application Research of Computers, 2019, 36 (7): 2164-2168,2178. )

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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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