虚拟现实技术下网络安全漏洞自动化检测方法研究

Research on automatic detection method of network security vulnerability under virtual reality technology

针对网络安全漏洞传统检测方法时延过长的问题,提出虚拟现实技术下网络安全漏洞自动化检测方法。利用优化计算提取网络安全漏洞的特征属性,对存在差异的漏洞属性进行权重调整,通过网络爬虫生成注入点列表,虚拟漏洞记录攻击的基因属性并对其进行分析,实现虚拟现实技术下网络安全漏洞自动化检测方法的研究。仿真实验结果表明,设计的方法检测时延比两种传统方法分别减少了290.11 ms和337.30 ms,证明了设计的虚拟现实技术下网络安全漏洞自动化检测方法时延较短,具有一定先进性。

Aiming at the problem of long time delay in traditional detection methods of network security vulnerabilities,an automatic detection method of network security vulnerabilities based on virtual reality technology is proposed.Using optimization calculation to extract the characteristic attributes of network security vulnerabilities,the weight of the different vulnerability attributes is adjusted.Generating the injection point list through the web crawler,recording the gene attributes of the attack and analyze them,and is adjusted the research on the automatic detection method of network security vulnerabilities is realized under the virtual reality technology.The simulation results show that the detection time delay of the proposed method is reduced by two traditional methods,290.11 ms and 337.30 ms respectively.It is proved that the automatic detection method of network security vulnerability under the virtual reality technology is relatively short and has some advanced nature.