云计算环境下入侵疑似边界问题改进算法

发布时间：2018-06-11 19:11

  本文选题：云计算环境 + 入侵检测　； 参考：《沈阳工业大学学报》2017年05期

【摘要】：传统的疑似边界问题处理算法一直存在边界确定结果不准确、误差较大的问题,为了提高网络安全性能,提出一种基于模糊网络阈值计算的云计算环境下入侵检测中疑似边界确定算法,分析了云计算环境下入侵种类及其检测原理,并确定其入侵形式;通过计算模糊网络阈值,确定云计算环境下入侵检测中疑似边界具体参数.仿真实验结果表明,采用改进算法进行疑似边界的确定,其结果精度及效率均优于传统算法,具有一定的优势.
[Abstract]:In order to improve the security performance of the network, the traditional boundary problem processing algorithm always has the problem of inaccurate boundary determination result and large error. This paper presents an algorithm for determining the suspected boundaries of intrusion detection in cloud computing environment based on the calculation of fuzzy network threshold, analyzes the types and detection principles of intrusion in cloud computing environment, and determines its intrusion form, and calculates the threshold value of fuzzy network. Determine the specific parameters of suspected boundaries in intrusion detection in cloud computing environment. The simulation results show that the accuracy and efficiency of the improved algorithm are better than that of the traditional algorithm.
【作者单位】： 新乡学院计算机与信息工程学院;河南大学计算机与信息工程学院;
【基金】：河南省科技厅科技攻关项目(172102210445);河南省科技厅软科学研究资助项目(152400410345) 河南省教育厅资助项目(15A520093)
【分类号】：TP393.08
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本文编号：2006348