关于网络web服务器中攻击信息优化检测仿真

发布时间：2018-05-30 16:16

本文选题：网络服务器 + 攻击信息　；参考：《计算机仿真》2017年05期

【摘要】：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。
[Abstract]:Detection of attack information in network web server can effectively improve the security quality of network web server. For the detection of attack information, it is necessary to perform feature aggregation detection of the attack signal outputted by filtering, and obtain the estimation result of the envelope amplitude of the attack signal, so as to complete the detection of the attack information. The traditional method firstly constructs the array structure model of the network attack distribution, and analyzes the attack signal of the attack array exchange data, which can not estimate the attack signal detection result, resulting in the low accuracy of the detection result. An attack information detection method for network web server driven by associated data based on fuzzy constraints is proposed. Combining the constraint analysis method to obtain the dangerous point of the data buffer operation related to the network web server, the corresponding attribute transfer and attribute constraint statements are generated. A fuzzy constraint method is used to detect the feature aggregation of the filtered attack signal and obtain the estimation result of the envelope amplitude of the attack signal. The detection of the network web attack information is completed. Simulation results show that the proposed method has high detection accuracy and can effectively detect network web server attacks driven by associated data.
【作者单位】：广州大学华软软件学院;
【分类号】：TP393.08

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