云系统的安全性增强算法研究  

Research on Security Enhancement Algorithm in Cloud System

作　　者：张伟 王宜怀[2] ZHANG Wei;WANG Yihuai(School of Computer Science,Xianyang Normal University,Xianyang,Shaanxi 712000,China;School of Computer Science and Technology,Soochow University,Suzhou,Jiangsu 215006,China)

机构地区：[1]咸阳师范学院计算机学院,陕西咸阳712000 [2]苏州大学计算机科学与技术学院,江苏苏州215006

出　　处：《计算机工程》2019年第10期150-154,159,共6页Computer Engineering

基　　金：国家自然科学基金(61672369);陕西省教育厅科研计划项目(18JK0838);陕西省科技厅软科学研究计划项目(2018KRM145)

摘　　要：当前云系统的安全防护主要针对单一方面进行,难以做到全方位防护且不具备评估云系统安全性的能力。为此,提出一种安全性增强算法。通过4级流水化PF_RING提升云系统的吞吐率和并行性,应用基于神经网络的分析方法进行安全性检测,采用最佳选择算法对安全性进行评估。实验结果表明,该算法能够在云系统中实时进行网络流量捕获和漏洞检测等操作,平均入侵防护率达94.1%,报文捕获率达97.6%,提高了在高速网络环境下对网络数据的实时分析处理能力。The current security protection of cloud system is mainly carried out in a single aspect.It is difficult to achieve comprehensive security protection and it lacks the ability to evaluate the security of cloud system.Therefore,a security enhancement algorithm is proposed.The throughput rate and parallelism of the cloud system are improved by the fourth-level fluidization PF_RING,an analysis method based on neural network is applied to detect the security of the cloud system,and the optimal selection algorithm is used to evaluate the security of the cloud system.Experimental results show that the proposed algorithm can process network traffic capture and vulnerability detection in the cloud system in real time,the average invasion protection capacity reaches 94.1%,the packet capture rate of cloud system reaches 97.6%,and its real-time analysis and processing ability of network data in high-speed network environment are improved.

关 键 词：云系统 安全性 增强算法 入侵检测 报文捕获 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]