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Implementation and analysis of website security mining system, applied to universities' academic networks

机译:网站安全挖掘系统的实现与分析,应用于大学学术网络

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摘要

It is becoming increasingly common for web application and data storage services to be handled by cloud computing; therefore, more and more people are putting their private information on the internet, motivating research into cloud computing, database security and authority encryption. In the Open Web Application Security Project (OWASP) assessment, SQL injection is one of the most dangerous attack vectors in internet security. With this in mind, we have implemented a system named the website security mining system, which leverages a web crawling algorithm to analyze web URL and e-mail address leaks through black-box testing of 20 well-known universities’ websites. Based on our data, academic website maintainers can be clearly informed about what kind of danger they are exposed to, which URLs are highly in danger, and the need to patch the website to protect against vulnerabilities and prevent academic resources from attacks. We hope that in the future, academic networks will gain more attention in the information security community, just like commercial and government networks today.
机译:Web应用程序和数据存储服务由云计算处理变得越来越普遍。因此,越来越多的人将他们的私人信息放到Internet上,从而推动了对云计算,数据库安全性和授权加密的研究。在开放式Web应用程序安全项目(OWASP)评估中,SQL注入是Internet安全中最危险的攻击媒介之一。考虑到这一点,我们实施了一个名为网站安全挖掘系统的系统,该系统利用网络爬网算法通过对20所知名大学的网站进行黑盒测试来分析Web URL和电子邮件地址泄漏。根据我们的数据,可以清楚地告知学术网站维护者所面临的危险是什么,哪些URL处于高度危险中,以及需要对网站进行修补以防御漏洞并防止学术资源受到攻击。我们希望将来,学术网络将像当今的商业和政府网络一样,在信息安全领域得到更多关注。

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