A Real-Time Risk Detection Method for Network Security based on Static Analysis

Jiajia He

Department of network data information The First Affliated Hospital of Guangdong University of Chinese Medicine

Guangzhou, 510405, China

Abstract: Traditional network security risk detection methods can only evaluate and detect the long-term se-curity state of the network, but cannot accurately and real-time detect the network risk. Therefore, the real-time risk detection method of network security based on static analysis is studied. After analyzing the state of network security using the static constraint analysis theory, the qualitative network attack and defense using the game theory. Based on the calculation of network security risks, the artificial immune principle is used to realize the real-time risk detection. Experimental results show that the detection accuracy of this method is higher than 93.5%, which is better than the traditional method to achieve better network protection effect.

Keywords: Static analysis; Network security; Network security risks; Real-time risk detection; Artificial immunity