云计算环境下编程过程病毒检测方法仿真  

Simulation of Virus Detection Method for Programming Process in Cloud Computing Environment

作　　者：元尼东珠 安见才让[1] YUAN Nin-dong zhu;AN Jian-cai rang(School of computer,Qinghai Nationalities University,Qinghai Xining 810007,China)

机构地区：[1]青海民族大学计算机学院,青海西宁810007

出　　处：《计算机仿真》2020年第3期445-448,共4页Computer Simulation

基　　金：青海省科技厅项目资助(2016-ZJ-Y04);青海民族大学2017年高等教育综合实力提升专项资金项目。

摘　　要：互联网技术的飞速发展,传统的病毒防护系统已经无法快速、及时处理日益增多的网络安全威胁。为了解决传统方法存在的弊端,提出基于云计算环境下的编程病毒检测方法。根据OpenFlow交换机的流表项,分析云计算环境下编程过程病毒的特性,提取病毒特征。建立支持向量机(SVM)分类器,利用粒子群算法优化SVM参数,获取最优参数,将病毒特征输入到最优分类器,由最优SVM检测编程病毒。实验结果证明,所提方法能够快速、及时为用户提供病毒检测服务,保证平台的安全运行。With the rapid development of Internet technology,traditional virus protection systems were unable to handle the increase in network security threat quickly.Therefore,a method to detect the programming virus based on cloud computing environment is proposed.According to the flow table entry of OpenFlow exchange board,the characteristics of virus during the programming in the cloud computing environment were analyzed,and the virus features were extracted.Then,the support vector machine(SVM)classifier was established.Meanwhile,particle swarm optimization algorithm was used to optimize SVM parameters,so as to obtain the optimal parameters.Finally,virus features were inputted into the optimal classifier.Thus,the programming virus was detected by optimal SVM.Simulation results show that the proposed method can provide users with virus detection services quickly,so that the safe operation of platform can be guaranteed.

关 键 词：云计算环境 编程过程 病毒检测方法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]