基于贪心迭代算法的网络信息传输安全威胁动态识别方法

A Dynamic Identification Method for Network Information Transmission Security Threats Based on Greedy Iterative Algorithm

网络信息传输安全威胁识别过程中易出现漏检现象,影响网络入侵特征检测的准确性,为此,提出基于贪心迭代算法的网络信息安全威胁识别方法。采用动态网关入口节点监测方法,采集网络信息传输的动态数据集,提取多帧频谱特征量;结合网络拓扑结构重组方法,实现对网络传输信息的动态特征分布式重构,根据组合频域因素分布式融合技术,实现对网络信息传输的动态迭代处理,采用离散傅里叶变换,实现对网络性安全威胁的时间序列频域转换控制,根据网络攻击类型进行网络入侵特征检测和分类识别,根据贪心算法迭代结果,实现对网络信息安全威胁的动态识别和监测。实验结果表明,该方法在网络信息安全威胁识别方面具有优秀的特征检测能力,能够根据不同的入侵威胁程度对安全威胁进行有效的分组识别,该方法的漏检率最低仅为0.021。

In the process of network information transmission security threat identification,the missing phenomenon is easy to occur,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 reconstructed.According to the distributed fusion technology of combined frequency domain factors,the dynamic iterative processing of network information transmission is realized.The discrete Fourier transform is adopted to realize the time-series frequency domain conversion control of network security threats.According to the type of network attack,the network intrusion feature detection and classification 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 ability 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.