Security threat warning system of power monitoring network based on attribute attack graph

Yakun Jiang; Xiao Han; Weiqi Li; Shanfeng Chen; Zhaohui Hu

doi:10.1117/12.2641229

19 October 2022 Security threat warning system of power monitoring network based on attribute attack graph

Yakun Jiang, Xiao Han, Weiqi Li, Shanfeng Chen, Zhaohui Hu

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 1229408 (2022) https://doi.org/10.1117/12.2641229
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

The existing security alarm system is difficult to accurately judge the effective alarm data, resulting in a large amount of redundant data in the alarm system database. In order to alleviate the operation pressure of the alarm system, a power monitoring network security threat alarm system based on attribute attack graph is designed. In the system hardware, the CPU power supply and network interface are designed. In the system software, the visual traceability analysis of security threat data is carried out. Based on the attribute attack graph, the topology algorithm is used as the analysis tool of attack nodes, and the weight index of information similarity is established. The binary attack node system in the system is established by atomic attack node and attribute attack node to judge the similarity level of different alarm information. In the experiment, the alarm aggregation rate and system reliability of four different alarm systems are tested. The experimental data show that the system can remove more redundant data without losing alarm data, which shows that the system has better performance.

Citation Download Citation

Yakun Jiang, Xiao Han, Weiqi Li, Shanfeng Chen, and Zhaohui Hu "Security threat warning system of power monitoring network based on attribute attack graph", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 1229408 (19 October 2022); https://doi.org/10.1117/12.2641229

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KEYWORDS

Network security

Reliability

Power supplies

Visualization

Threat warning systems

Visual analytics

Information security

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