网络安全异常检测技术探究  

Anomaly detection technology in network security

作　　者：黄煜坤[1] 

机构地区：[1]广西工业职业技术学院,南宁530022

出　　处：《电子测试》2015年第3期40-42,45,共4页Electronic Test

摘　　要：本文提出构建流量异常检测模块和分析模块,并结合BP神经网络等算法,对网络流量特征值进行提取,从而对误差阈值、权值、隐含层个数等进行改进;采用联合熵算法对流量分析模块进行构建,从而通过熵值的变化来查看网络的异常,以此更好的实现对网络异常的检测。This paper presents the construction of traffic anomaly detection module and analysis module,and combined with BP neural network algorithm, the network trafficcharacteristic value extraction,thus to improve the error threshold, the weights and hidden layer number;using the joint entropy algorithm of flow analysis module for construction,abnormal thus come to view through the entropy change the implementation of network,in order to better to detect network anomalies.

关 键 词：入侵检测方法 BP神经 联合熵算法 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]