Using data mining technology to detect unknown network security threats in power system digital transformation
Xi Chen · 2021 International Conference on Power System Technology (POWERCON) · 2021
In the process of digital transformation and digital power grid construction, technologies such as Internet and Internet of things have been popularized and brought convenience in professional production and operation. With the continuous application of digital scenarios, power grid enterprises also face major network security problems, such as intentional or unintentional dissemination of malicious files, which will bring serious network security risks and have strong unpredictability, bring great unknown network security threats to enterprise digital transformation, and it is difficult to monitor with traditional technologies, This paper analyzes the basic model of data mining technology, and combined with the typical network security risks in the process of data grid construction, studies the application of data mining technology to the detection of unknown network security threats in the digital transformation of power system.