基于数据分离的网络疑似攻击自主检测仿真  

Autonomous Detection Simulation of Network Suspect Attack Based on Data Separation

作　　者：殷铭[1] 任伟[1] YIN Ming;REN Wei(Foreign Trade&Business College of Chongqing Normal University,Chongqing 401520,China)

机构地区：[1]重庆师范大学涉外商贸学院,重庆合川401520

出　　处：《计算机仿真》2020年第2期334-338,共5页Computer Simulation

摘　　要：采用传统方法对通信网络中的疑似网络攻击节点进行检测时,未对干扰信号进行滤波处理,导致信号杂质多,检测耗时较长,且检测精度较低。针对上述问题,提出基于数据分离的网络疑似攻击自主检测方法。组建网络疑似攻击信号模型,完成网络疑似攻击数据的采集以及信号拟合。通过二阶格型陷滤波器对干扰信号进行滤波处理;使用多源波束进行网络疑似攻击数据分离,实现网络疑似攻击自主检测。仿真结果表明,所提方法能够有效提升检测精度以及检测效率,且具有较高的实际应用性。When the suspected network attack node in communication network was detected by traditional methods,the interference signal was not filtered,leading to long detection time and low detection accuracy.Therefore,an autonomous detection method of suspect network attack based on data separation was proposed.Firstly,the model of network suspect attack signal was constructed,so that the acquisition of suspected attack data and the signal fitting were completed.Secondly,the second-order notch filter was applied to the filtering processing of interference signal,and the suspected network attack data were separated by the multi-source beam.Finally,the autonomous detection for suspect network attack was achieved.Simulation results show that the proposed method can effectively improve the detection accuracy and detection efficiency.

关 键 词：数据分离 网络疑似攻击 自主检测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]