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Method of Generating a Blacklist for Mobile Devices by Searching Malicious Websites

机译:通过搜索恶意网站来为移动设备生成黑名单的方法

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As mobile devices have become more popular, mal-ware and attacks directed at them have significantly increased. One of the methods to attack mobile devices is redirecting a user to unwanted websites by unwanted page transition. One of the countermeasures against such attacks is to generate a blacklist of URLs and hostnames, which can prevent access to malicious websites. To generate a blacklist, first, malicious websites are collected in the web space. Then, URLs and hostnames of the malicious websites are added to the blacklist. However, URLs of the malicious websites are typically changed frequently; thus, it is necessary to keep track of the malicious websites and update the blacklist in a timely manner. In this study, we proposed a method to generate blacklists for mobile devices by searching malicious websites. The method collects many HTML files from the web space using a crawler and searches for HTML files that are highly likely to be malicious using keywords extracted from the known malicious websites to discover the new ones. Thus, new malicious websites can be added to the blacklist in a timely manner. Using the proposed method, we discovered malicious websites that were not detected by Google Safe Browsing. Moreover, the blacklist generated using the method had a high detection rate for certain malicious websites. This paper reports the design process and the results of the evaluation of the new method.
机译:随着移动设备变得更加流行的,麦克风和针对它们的攻击显着增加。攻击移动设备的方法之一是通过不需要的页面转换将用户重定向到不需要的网站。这种反对此类攻击的对策是生成一个URL和主机名的黑名单,可以防止访问恶意网站。要生成黑名单,首先,在网格空间中收集恶意网站。然后,恶意网站的URL和主机名被添加到黑名单中。但是,恶意网站的URL通常经常更改;因此,有必要跟踪恶意网站并及时更新黑名单。在这项研究中,我们提出了一种通过搜索恶意网站来为移动设备生成黑名单的方法。该方法使用爬网程序收集来自Web空间的许多HTML文件,并搜索高可能使用从已知恶意网站提取的关键字来发现新的HTML文件来发现新的文件。因此,可以及时将新的恶意网站添加到黑名单中。使用所提出的方法,我们发现了Google安全浏览未检测到的恶意网站。此外,使用该方法生成的黑名单对某些恶意网站的检测率高。本文报告了设计过程和新方法评估的结果。

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