Affiliation:
1. Faculty of Information Technology and Communications, Syrian Virtual University, Damascus, Syria
2. Faculty of Informatics Engineering, Al-Sham Private University, Damascus, Syria
Abstract
From proactive detection of cyberattacks to the identification of key actors, analyzing contents of the Dark Web plays a significant role in deterring cybercrimes and understanding criminal minds. Researching in the Dark Web proved to be an essential step in fighting cybercrime, whether with a standalone investigation of the Dark Web solely or an integrated one that includes contents from the Surface Web and the Deep Web. In this review, we probe recent studies in the field of analyzing Dark Web content for Cyber Threat Intelligence (CTI), introducing a comprehensive analysis of their techniques, methods, tools, approaches, and results, and discussing their possible limitations. In this review, we demonstrate the significance of studying the contents of different platforms on the Dark Web, leading new researchers through state-of-the-art methodologies. Furthermore, we discuss the technical challenges, ethical considerations, and future directions in the domain.
Subject
Computer Networks and Communications,Information Systems
Reference61 articles.
1. What is cyber threat intelligence and how is it evolving?;W. Tounsi,2019
2. An overview of cyber threat intelligence platform and role of artificial intelligence and machine learning;A. Dutta
3. Keep the dark web close and your cyber security tighter
4. Challenges of using machine learning algorithms for cybersecurity: a study of threat-classification models applied to social media communication data;A. L. Queiroz,2020
5. Cybercriminal Networks, Social Ties and Online Forums: Social Ties Versus Digital Ties within Phishing and Malware Networks
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