NET架构下的Web连续攻击单模式匹配抓取算法  

Web Continuous Attack Single Pattern Matching Grasping Algorithm Based on NET Architecture

作　　者：陈可汤[1] 张运波[1] 汪文彬[1] 

机构地区：[1]琼州学院电子信息工程学院,海南三亚572022

出　　处：《科技通报》2015年第4期34-36,共3页Bulletin of Science and Technology

基　　金：校级青年科学基金项目(QYQN201341);2014年三亚市院地科技合作项目(2014YD22);海南省自然科学资金(613170)

摘　　要：对Web连续攻击信号进行单模式匹配抓取进而提高对攻击信号的检测能力,提出一种基于NET架构的Web连续攻击单模式匹配抓取算法,采用盲源分离算法高斯随机分布下对连续攻击信号进行自相关成分分析,通过时频伸缩信号在不同时间下的能量密度,对Web连续攻击信号进行正常和异常数据分离,对不同频段进行频率变尺度压缩,实现对高频特征和低频特征的分段处理。采用包络线进行平均值标记的方法,得到信号的状态空间固有模态函数差值分量,实现算法改进。实验结果表明,该算法能准确实现对NET构架下的Web连续攻击特征点的单模式匹配抓取,提高对Web连续攻击信号的检测能力,对NET构架下的Web连续攻击特征信号的准确抓取概率较高,在网络安全构架等领域具有较好的应用价值。The Web continuous attack signals of single pattern matching and improve the detection ability to grab attack signal, Web continuous attack single pattern matching grasping algorithm is proposed based on NET architecture, analyze autocorrelation component continuous attack signal based on blind source separation algorithm of Gauss random distribution,the time-frequency expansion signal at different times of the energy density, the Web continuous attack signal separation of normal and abnormal data, for different band frequency variable scale compression, realize sectional treatment on the character of high frequency and low frequency characteristics. Using the envelope marking method to obtain the state space average value, intrinsic mode function difference components of the signal, the improved algorithm is realized. The experimental results show that, the algorithm can accurately realize single pattern matching to grab the NET under the frame of Web continuous attack feature point, improve the ability to detect the continuous attacks on Web signals, accurately grasp the high probability of NET under the frame of Web continuous attack of signal features, it has good application value in the network security framework and other fields.

关 键 词：攻击 网络 检测 信号 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]