The development of electric power network security system has been a very important research field in China, because the development of electric power network security is not only related to the daily life of nationals, but also affects the sustainable development of the whole society of China. In the information society, science and technology continue to develop, and artificial intelligence technology and information mining technology are widely used in electric power network safety and security. Based on this, this paper firstly introduces the basic concepts of artificial intelligence and data mining technology, and then discusses the current status of the application of artificial intelligence and data mining in electric power network safety and security. It analyses the practical application of key areas such as risk assessment, intrusion detection, and threat intelligence, and provides an in-depth analysis of the challenges in dealing with ever-changing attack methods, data privacy protection, decision-making transparency, system compatibility, and real-time response. Finally, this paper proposes targeted strategies to improve the overall security and intelligence of the power network through algorithm optimisation, privacy protection, decision transparency, system upgrades and resource allocation optimisation. Building a more adaptable and secure power network security system can effectively respond to complex and ever-changing cyber threats, promote the intelligent and modern development of the power system, and is of great practical significance.

Artificial intelligence;Data mining;Power network security

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DOI： https://doi.org/10.62639/sspjinss04.20240104

Published： 2024