Dynamic Real-Time Analysis of Network Attacks Based on Dynamic Risk Probability Algorithm

With the rapid development of Internet technology and its application, the existence of network vulnerabilities is very common. Attackers may use the defects of soft-ware, hardware, or system security policy in the net-work system to access or destroy the system without authorization. How to nip in the bud and carry out a safety risk assessment and early warning is an ur-gent problem to be solved. Based on the overall assess-ment of the risk factors in the whole network, the more dangerous nodes are found and priority measures are taken. The method proposed in this paper can reflect and predict the actions of attackers, repair, and ad-just the previously predicted probability. It is com-pared with the method that evaluates the uncertainty in the network solely by calculating the static probabil-ity. The proposed new ideas and methods better reflect the real-time changes in the actual environment of the Internet, thereby better responding to the actual situ-ation. This method can be well applied to threat detec-tion, threat analysis, and risk assessment of monitoring system networks, enabling monitoring network man-agers to evaluate and protect the security of real-time power grids. It is of great significance to effectively de-fend against network attacks, ensure system security, and study the resistance of control systems under net-work attacks.