A Dynamic Identification Method for Network Information Transmission Security Threats Based on Greedy Iterative Algorithm
In the process of network information transmission security threat identification,the missing phenomenon is easy to oc-cur,which affects the accuracy of network intrusion feature detection.Therefore,a network information security threat identification method based on greedy iteration algorithm is proposed.The dynamic data set of network information transmission is collected and multi-frame spectrum features are extracted by using dynamic gateway entry node monitoring method.In combination with the network topology structure reorganization method,the dynamic characteristics of network transmission information are distributed and recon-structed.According to the distributed fusion technology of combined frequency domain factors,the dynamic iterative processing of net-work information transmission is realized.The discrete Fourier transform is adopted to realize the time-series frequency domain con-version control of network security threats.According to the type of network attack,the network intrusion feature detection and classi-fication recognition are carried out,and the dynamic identification and monitoring of network information security threats are realized according to the iterative results of greedy algorithm.The experimental results show that this method has excellent feature detection a-bility in network information security threat identification,and can effectively identify security threats according to different intrusion threat degrees,and the lowest missing rate of this method is only 0.021.
万方数据
维普
