The correlation analysis model of information security events based on the adaptive optimization algorithm

As sophisticated network attack methods increase, the decentralized security event processing methods based on a single device can no longer meet the cur-rent needs of network security management. The security event correlation analysis technology analyzes the various security events through correlation that can accurately judge and extract meaningful security events. This paper proposes an information security event correlation analysis method based on the adaptive optimization algorithm in order to imitate the constitution of clusters in two-dimensional gas where particles do not keep still until they irreversibly hit and "stick" together. The simulation is established to analyze the aggregation of information security events.