Construction of Network Security Situation Assessment Model Based on Improved Ant Colony Algorithm

Large national power grid enterprises such as State Grid and China Southern Power Grid have been continuously strengthening the construction of network security defense systems, but the existing defense systems mainly take countermeasures after an attack occurs, failing to take the initiative and predict and eliminate threats in advance. This article constructs a network security situation assessment model based on the improved ACA (Ant Colony Algorithm), which can comprehensively analyze various situation elements of network security and dynamically reflect the overall situation of network security. Simulation experiments show that the overall trend of network throughput of the three algorithms gradually decreases as the number of black hole nodes increases. This is because the increase in black hole nodes makes it increasingly difficult to maintain stable network routing, and the massive loss of data packets leads to a reduction in throughput. The development trend of network security is predicted through the network security situation assessment model, which provides important support for network security emergency response and active defense. Build a targeted network security situation assessment model to provide guidance for smart grid to actively defend against attacks.