摘要
为更加精准的辨别潜藏在计算机程序中的病毒文件,在特征码扫描和行为检测技术的基础上设计了一款两者结合的病毒检测系统。该系统实现了在计算机程序中对已知病毒和未知病毒的检测,提高计算机病毒的检测率的同时降低了误报率。通过网站收集病毒程序与合法程序作为实验数据,对样本程序进行病毒检测对比,分析样本程序的动态行为联系。最终根据程序结果对病毒库进行实时更新并提交数据,为计算机网络安全的发展提供了基础保障。
Computer virus is a derivative of the rapid development of the computer network,and the virus invasion program seriously affects the normal operation of the computer system.In order to more accurately identify the virus files hidden in the computer program,a combined virus detection system is designed on the basis of feature code scanning and behavior detection technology.This system realizes the detection of known viruses and unknown viruses in computer programs,and improves the detection rate of computer viruses while reducing the false positive rate.The virus program and the legal program are collected through the website as experimental data,and the sample program is compared by virus detection,the dynamic behavioral connection of the sample program is analyzed,and the experimental data is judged.Finally,according to the results of the program,the virus library is updated in real time and the data is submitted,which provides a basic guarantee for the development of computer network security.
作者
王嘉欣
WANG Jiaxin(Liaoning Vocational University of Technology,Jinzhou Liaoning 121007,China)
出处
《信息与电脑》
2023年第2期238-241,共4页
Information & Computer
基金
2021年辽宁理工职业大学校级课题-“课程思政”专项“职业本科教学中融入课程思政的探索与实践:以《Linux操作系统管理》课程为例”(项目编号:LNSZ202117)。
关键词
网络安全
渗透测试
病毒检测
network security
penetration test
virus detection
