Data Mining-Based Security State Perception Method for Power Grid Transient Communications
With the development of technology,power grid communication systems continue to face a variety of security threats,such as data tampering,illegal access and denial of service attacks.These threats can lead to severe grid failures or even blackouts.To effectively address these challenges,the security status of communication systems needs to be monitored and evaluated in real time.As a powerful analysis tool,data mining technology can identify potential threats and abnormal behaviors by analyzing massive data,so it has become a powerful means to ensure the communication security of power grid.This paper analyzes the security threats faced by power grid communication system,and studies the security state perception method of power grid transient communication based on data mining to improve the overall security protection level of power grid.
data miningpower grid transient communicationsecurity state perception