摘要
针对传统网络入侵检测算法在检测网络中的异常数据时,存在检测率比较低的问题,以提高网络入侵检测的检测率,提出了基于云计算的网络入侵检测频率智能调整算法.针对网络入侵检测频率在预测方面存在的问题,将云计算技术应用到频率时间序列的具体预测中,以完成预测网络入侵检测频率的时序,根据网络入侵检测建模的具体过程,构建了网络入侵检测频率特征的数学模型,通过引入云计算技术中的拉格朗日乘子,得到网络入侵检测频率特征的分类决策函数,完成网络入侵检测频率智能调整原理的分析,最后通过网络入侵检测频率智能调整算法设计,实现了网络入侵检测频率的智能调整.实验结果表明,基于云计算的网络入侵检测频率智能调整算法可以提高网络入侵的检测率.
In order to improve the detection rate of network intrusion detection,an intelligent adjustment algorithm of network intrusion detection frequency based on cloud computing is proposed.In view of the problems existing in the prediction of network intrusion detection frequency,cloud computing technology is applied to the specific prediction of frequency time series to complete the prediction of network intrusion detection frequency sequence.According to the specific process of network intrusion detection modeling,the mathematical model of network intrusion detection frequency characteristics is constructed.By introducing lagrange multiplier in cloud computing technology,the network is obtained network intrusion detection frequency characteristic classification decision function,completes the analysis of network intrusion detection frequency intelligent adjustment principle,finally through the network intrusion detection frequency intelligent adjustment algorithm design,realizes the network intrusion detection frequency intelligent adjustment.The experimental results show that the intelligent adjustment algorithm of network intrusion detection frequency based on cloud computing can improve the detection rate of network intrusion.
作者
周丽娟
ZHOU Lijuan(Experimental Center of Shanxi University of Finance and Economics,Taiyuna 030006,China)
出处
《太原师范学院学报（自然科学版）》
2020年第4期33-36,共4页
Journal of Taiyuan Normal University:Natural Science Edition
基金
山西省高等学校教学改革创新重点项目(J2016050)
山西省回国留学人员科研资助项目(2020-095)。
关键词
云计算
网络入侵
检测频率
调整算法
cloud computing
network intrusion
detection frequency
adjustment algorithm
