Research on Network Security Evaluation and Optimal Active Defense Mode Based on Fuzzy Clustering Algorithm

As an active information security measure, intrusion detection technology effectively makes up for the problems that cannot be solved by traditional security protection mechanisms. However, in the face of increasing network traffic, increasingly updated network facilities and endless attacks, traditional intrusion detection technology has many shortcomings. A new adaptive detection algorithm quantum genetic fuzzy clustering algorithm is proposed. The algorithm uses quantum genetic theory and fuzzy clustering method to automatically classify the unsupervised data sets, so as to realize the autonomous identification of intrusion behaviors. Computer network has become an indispensable part of our life. However, with the increasing importance of network, network security has become an important research topic. The fuzzy clustering algorithm is effectively applied to the labeling and clustering detection of the system. Then, in the simulated network environment, the implementation of server side and routing side is demonstrated, and the experiment is simulated. Finally, the system is implemented and the experimental results are analyzed. With the rapid development of network technology and the continuous expansion of the scope of network applications, attacks and damages to the network are also increasing. Network and information security has gradually become the key problem to be solved for the further development of various network services and applications. Intrusion detection technology is a new generation of security technology after traditional security strategies such as ‘‘firewall” and ‘‘data encryption Traditionally, network security measures such as encryption mechanism, data signature mechanism, access control mechanism, data integrity mechanism, authentication mechanism, system vulnerability detection and firewall technology are mainly used to prevent network failures and network intrusion. However, these static security defense technologies lack the active response to the changing attack means under the network environment, and can not timely discover the potential vulnerabilities and errors of the system. It transforms the original passive security guarantee into active monitoring and auditing, and can give real-time alarm and block to hacker intrusion, illegal operation of internal personnel and other behaviors, thus reducing the risk of computer system and network.