NET架构下的Web连续攻击单模式匹配抓取算法

发布时间：2018-12-28 08:00

【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。
[Abstract]:In order to improve the detection ability of Web continuous attack signal, a single mode matching grab algorithm of Web continuous attack based on NET architecture is proposed. The blind source separation algorithm Gao Si is used to analyze the autocorrelation components of the continuous attack signal under random distribution. The normal and abnormal data of the Web continuous attack signal are separated by the energy density of the time-frequency expansion signal at different time. The frequency variable scale compression is carried out in different frequency bands to realize the segmental processing of high frequency and low frequency features. By using the envelope to mark the mean value, the difference component of the state space inherent mode function of the signal is obtained, and the algorithm is improved. The experimental results show that the algorithm can accurately capture the Web continuous attack feature points under the NET framework and improve the detection ability of the Web continuous attack signals. The accurate capture probability of Web continuous attack feature signal under NET framework is high, and it has good application value in network security architecture and other fields.
【作者单位】：琼州学院电子信息工程学院;
【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)
【分类号】：TP393.08

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