关于网络通信信息传输安全性能检测仿真  

Simulation of Security Performance Detection of Network Communication Information Transmission

作　　者：张军丽[1] 张延芳[1] 

机构地区：[1]郑州大学西亚斯国际学院,河南郑州451150

出　　处：《计算机仿真》2018年第1期407-410,共4页Computer Simulation

摘　　要：对网络通信信息的安全性问题的研究,能够有效改善网络通信过程易受攻击现象。对通信信息传输安全性能进行检测,需要先对隐蔽异常流量进行提取,计算网络通信流量信号的瞬时参数,完成通信信息传输过程安全性能的提升。传统方法采用正向与逆向云产生方法,获得待测网络环境下不同异常等级的流量评估云,对异常通信信息流量进行检测,但忽略了获取通信流量信号的瞬时参数,导致检测精度偏低。提出网络通信隐蔽流量异常检测方法。建立网络通信流量传输结构模型对流量进行时频采样和时间序列分析,进行网络通信流量抗干扰滤波预处理,计算网络通信流量信号的瞬时参数,并以参数计算出流量信号全局异常子空间,将获得全局相关系数对流量是否异常进行判定。实验结果表明,上述方法能够检测出网络多条链路上较小的流量异常,实现了通信信息传输安全性的高精度检测。ABSTRACT：The research on the security of network communication information can effectively improve the network communication process. In order to deteet the security of communication information transmission, we need extraet the hidden abnormal traffic and calculate the instantaneous parameter. Traditional methods use forward and reverse cloud method to detect the abnormal communication information flow, which ignore the instantaneous parameter. This article presents a method for detecting hidden abnormal traffic of network communication. The transmission structure model of network communication traffic for time frequency sampling and time series analysis is built. Then, the anti-inter- ference filter of network communication traffic is preconditioned and instantaneous parameter of network traffic signal is calculated. Finally, global abnormal subspace of flow signal through parameters is calculated, thus the abnormal flow is determined. Simulation results show that the above method can detect small traffic anomaly on multiple links of network with high precision.

关 键 词：网络通信 信息传输 安全性检测 

分 类 号：TP393.06[自动化与计算机技术—计算机应用技术]