Research and implementation of vulnerability detection system for power plant industrial control network

Xiao Zhang; Yang Pan; Cong Li; Zengkai Wang

doi:10.1117/12.2624141

19 December 2021 Research and implementation of vulnerability detection system for power plant industrial control network

Xiao Zhang, Yang Pan, Cong Li, Zengkai Wang

Author Affiliations +

Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain; 121280A (2021) https://doi.org/10.1117/12.2624141
Event: 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, Macao, China

Abstract

Through in-depth study of the current vulnerability discovery technology, this paper analyzes the advantages and disadvantages of common vulnerability discovery technology, as well as the application field. Based on the CVE vulnerability library, the existing OpenVAS source code design was improved, and its scanning process was improved to enhance the ability of scanning known vulnerabilities. For the unknown vulnerability mining, optimize the design of the vulnerability mining test generating algorithm and vulnerability mining algorithm, carry out network vulnerability mining on the target industrial control test system, so as to obtain the known or unknown vulnerability analysis report of the industrial control system, and form the security assessment report and security response strategy of the industrial control system.

Citation Download Citation

Xiao Zhang, Yang Pan, Cong Li, and Zengkai Wang "Research and implementation of vulnerability detection system for power plant industrial control network", Proc. SPIE 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain, 121280A (19 December 2021); https://doi.org/10.1117/12.2624141

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