A Review of Dark Web: Trends and Future Directions

Shahriar Sobhan, Timothy Williams, Md Jobair Hossain Faruk, Juan Rodriguez, Masrura Tasnim, Edwin Mathew, Jack Wright, H. Shahriar
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引用次数: 2

Abstract

The dark web is often discussed in taboo by many who are unfamiliar with the subject. However, this paper takes a dive into the skeleton of what constructs the dark web by compiling the research of published essays. The Onion Router (TOR) and other discussed browsers are specialized web browsers that provide anonymity by going through multiple servers and encrypted networks between the host and client, hiding the IP address of both ends. This provides difficulty in terms of controlling or monitoring the dark web, leading to its popularity in criminal underworlds. In this work, we provide an overview of data mining and penetration testing tools that are being widely used to crawl and collect data. We compare the tools to provide strengths and weaknesses of the tools while providing challenges of harnessing massive data from dark web using crawlers and penetration testing tools including machine learning (ML) techniques. Despite the effort to crawl dark web has progressed, there are still rooms to advance existing approaches to combat the ever-changing landscape of the dark web.
暗网综述:趋势和未来方向
暗网经常被许多不熟悉这个话题的人当作禁忌来讨论。然而,本文通过汇编已发表论文的研究,深入研究了暗网的结构。洋葱路由器(TOR)和其他讨论过的浏览器是专门的网络浏览器,它们通过主机和客户端之间的多个服务器和加密网络来提供匿名性,隐藏了两端的IP地址。这给控制或监控暗网提供了困难,导致其在犯罪地下世界的流行。在这项工作中,我们概述了广泛用于抓取和收集数据的数据挖掘和渗透测试工具。我们比较了这些工具,以提供工具的优点和缺点,同时提供了使用爬虫和渗透测试工具(包括机器学习(ML)技术)从暗网中利用大量数据的挑战。尽管抓取暗网的努力取得了进展,但仍有空间推进现有的方法来对抗不断变化的暗网景观。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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