Analysis of Power Communication Network And Power Information Security Based on Data Mining Algorithm Under Edge Collaboration Architecture

With the proposal of “internet plus” and the penetration of Internet technology in all fields of society, the importance of communication information network security has become increasingly prominent. Communication information data dissemination has brought unprecedented new challenges and problems to national security and social stability. According to the isolation and authentication requirements of information security protection of power grid enterprises, based on the research of the relevant smart grid business scenarios, system architecture and security requirements with wireless public network as the channel, the monitoring architecture of wireless public network channel for intelligent power distribution is designed, including the monitoring scheme of intelligent power distribution business terminal, system master station, wireless public network channel and other links. In order to ensure the safe and reliable operation of power communication access network, encryption, authentication, isolation and other security protection measures are mainly adopted. Another important index to measure the network performance of power communication network is the quality of service ($Q_{0}$S), which will be sacrificed at the cost of network security. This paper proposes a method of information system security situation assessment based on DM. Situation assessment is one of the most important measures to detect the security of information systems, which can provide power system security status information for managers. Managers can obtain the abnormal problems in the system and take targeted measures to improve the security performance of the system.