关于网络web服务器中攻击信息优化检测仿真

On the Optimized Detection of Attack Information in Network web Server

关于网络web服务器中攻击信息的检测,可以有效提升网络web服务器的安全质量。对攻击信息的检测,需要对滤波输出的攻击信号进行特征聚集检测,获取攻击信号的包络幅值估计结果,完成对攻击信息的检测。传统方法先构建了网络攻击分布的阵列结构模型,对攻击阵列的交换数据进行攻击信号分析,无法对攻击信号检测结果进行估计,导致检测结果精度低。提出基于模糊约束的关联数据驱动下网络web服务器攻击信息检测方法。融合于约束分析方法得到涉及网络web服务器的关联驱动数据缓冲区操作的危险点,生成相应的属性传递和属性约束语句,利用模糊约束方法对滤波输出的攻击信号进行特征聚集检测,获取攻击信号的包络幅值估计结果,完成对网络web攻击信息检测。仿真证明,所提方法检测精度高,可以有效地检测出关联数据驱动下网络web服务器攻击。

A detection method of attack information in network web server driven by associated data is proposed based on fuzzy constraint. Firstly, the dangerous point of operation involved in buffer of associated driving data in the network web server is obtained, and corresponding statement of attribute transfer and attribute restriction is generated. Then, the fuzzy constraint method is used to carry out detection of feature cluster for attack signal of filter output. Mo- reover, the estimation result about envelope amplitude of the attack signal is acquired. Finally, the detection is com- pleted. Simulation proves that the proposed method has high detection precision. It can effectively detect attack of network web server driven by associated data.