Visible to the public Biblio

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2020-10-16
Zhang, Xin, Cai, Xiaobo, Wang, Chaogang, Han, Ke, Zhang, Shujuan.  2019.  A Dynamic Security Control Architecture for Industrial Cyber-Physical System. 2019 IEEE International Conference on Industrial Internet (ICII). :148—151.

According to the information security requirements of the industrial control system and the technical features of the existing defense measures, a dynamic security control strategy based on trusted computing is proposed. According to the strategy, the Industrial Cyber-Physical System system information security solution is proposed, and the linkage verification mechanism between the internal fire control wall of the industrial control system, the intrusion detection system and the trusted connection server is provided. The information exchange of multiple network security devices is realized, which improves the comprehensive defense capability of the industrial control system, and because the trusted platform module is based on the hardware encryption, storage, and control protection mode, It overcomes the common problem that the traditional repairing and stitching technique based on pure software leads to easy breakage, and achieves the goal of significantly improving the safety of the industrial control system . At the end of the paper, the system analyzes the implementation of the proposed secure industrial control information security system based on the trustworthy calculation.

2020-07-24
Chen, Jun, Zhu, Huijun, Chen, Zhixin, Cai, Xiaobo, Yang, Linnan.  2019.  A Security Evaluation Model Based on Fuzzy Hierarchy Analysis for Industrial Cyber-Physical Control Systems. 2019 IEEE International Conference on Industrial Internet (ICII). :62—65.
With the increasing security threats to the information of Industrial Cyber-physical Control Systems, the quantitative assessment of security risk becomes an important basis of information security research. Based on fuzzy hierarchy analysis, this paper constructs the hierarchical model of industrial control system safety risk evaluation, and obtains the exact value of risk. Experimental results show that the proposed method can effectively quantify the control system risk, which provides a basis for industrial control system risk management decision.