Title: Global and initiative safety mechanism in industrial control system

Authors: Xinguo Xu; Wei Kang; Zhiqi Fang; Baohui Sun; Yan Wang; Tingshao Zhu

Addresses: National Computer System Engineering Research Institute of China, Beijing, 100083, China ' National Computer System Engineering Research Institute of China, Beijing, 100083, China ' National Computer System Engineering Research Institute of China, Beijing, 100083, China ' National Computer System Engineering Research Institute of China, Beijing, 100083, China ' National Computer System Engineering Research Institute of China, Beijing, 100083, China ' School of Information Science and Engineering, GUCAS, Beijing, 100190, China

Abstract: With the development of information technology and industrial automation, industrial control systems have become increasingly complicated which increases the difficulty to detect running errors. Errors usually lead to industry incidences, which in turn threaten civil property and even national economy. In this paper, we propose a novel safety mechanism based on data mining. Complex network analysis, data prediction, expert analysis and self-adaptive downgrade and upgrade techniques are also applied to solve safety problems in industrial control systems. To protect industrial control system, we define a safety protection status. The system can be switched into protection status by specific operations, which finally transfer the system back to safe status. Using data mining techniques, we propose a general safety mechanism which has four operations, including global safety, initiative safety, real-time safety, and self safety.

Keywords: industrial control systems; ICS; safety protection; data mining; industrial automation.

DOI: 10.1504/IJCSE.2014.058698

International Journal of Computational Science and Engineering, 2014 Vol.9 No.1/2, pp.139 - 146

Available online: 16 Jan 2014 *

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