BlackWidow: Monitoring the Dark Web for Cyber Security Information

Schäfer, Matthias; Fuchs, Markus; Strohmeier, Martin; Engel, Markus; Liechti, Marc; Lenders, Vincent

doi:10.23919/cycon.2019.8756845

Cited by 40 publications

(13 citation statements)

References 14 publications

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“…In contrast, Nunes et al [37] mine Dark Web and Deep Web forums and marketplaces for cyber threat intelligence. They show that it is possible to detect zero-day exploits, map user/vendor relationships and conduct topic classification on Englishlanguage forums, results that we have been able to reproduce with BlackWidow [35].…”

Section: Related Research Studymentioning

confidence: 78%

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An Empirical Study of Deep Web based on Graph Analysis

Mm¹

2020

Preprint

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The internet can broadly be divided into three parts: surface, deep and dark among which the latter offers anonymity to its users and hosts [1]. Deep Web refers to an encrypted network that is not detected on search engine like Google etc. Users must use Tor to visit sites on the dark web [2]. Ninety six percent of the web is considered as deep web because it is hidden. It is like an iceberg, in that, people can just see a small portion above the surface, while the largest part is hidden under the sea [3, 4, and 5]. Basic methods of graph theory and data mining, that deals with social networks analysis can be comprehensively used to understand and learn Deep Web and detect cyber threats [6]. Since the internet is rapidly evolving and it is nearly impossible to censor the deep web, there is a need to develop standard mechanism and tools to monitor it. In this proposed study, our focus will be to develop standard research mechanism to understand the Deep Web which will support the researchers, academicians and law enforcement agencies to strengthen the social stability and ensure peace locally & globally.

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Section: Related Research Studymentioning

confidence: 78%

“…The Dark Web, a conglomerate of services hidden from search engines and regular users, is used by cyber criminals to offer all kinds of illegal services and goods [35]. Cybercriminal activities in the dark web can be considered one of the critical problems for societies around the world [5].…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study of Deep Web based on Graph Analysis

Mm¹

2020

Preprint

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“…BlackWidow, a tool proposed by Schäfer et al [52], discovers the features shared among platforms on both Dark Web and Deep Web to support future cybersecurity problems. e tool analyzes and compares forums in different languages to find cross-relationships, trending subjects, and key authors from multilingual content.…”

Section: Language Variationsmentioning

confidence: 99%

Threats from the Dark: A Review over Dark Web Investigation Research for Cyber Threat Intelligence

Basheer

Alkhatib

2021

Journal of Computer Networks and Communications

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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.

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“…Therefore, the Dark Web is an ideal source to apply OSINT and fight against cybercrime, organized crime or cyberthreats. On the other hand, the pursuit and de-anonymization of these people are current non trivial challenges for OSINT to properly work [35].…”

Section: A Osint Benefits 1) Huge Amount Of Available Informationmentioning

confidence: 99%

The Not Yet Exploited Goldmine of OSINT: Opportunities, Open Challenges and Future Trends

et al. 2020

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The amount of data generated by the current interconnected world is immeasurable, and a large part of such data is publicly available, which means that it is accessible by any user, at any time, from anywhere in the Internet. In this respect, Open Source Intelligence (OSINT) is a type of intelligence that actually benefits from that open natureby collecting, processing and correlating points of the whole cyberspace to generate knowledge. In fact, recent advances in technology are causing OSINT to currently evolve at a dizzying rate, providing innovative data-driven and AI-powered applications for politics, economy or society, but also offering new lines of action against cyberthreats and cybercrime. The paper at hand describes the current state of OSINT and makes a comprehensive review of the paradigm, focusing on the services and techniques enhancing the cybersecurity field. On the one hand, we analyze the strong points of this methodology and propose numerous ways to apply it to cybersecurity. On the other hand, we cover the limitations when adopting it. Considering there is a lot left to explore in this ample field, we also enumerate some open challenges to be addressed in the future. Additionally, we study the role of OSINT in the public sphere of governments, which constitute an ideal landscape to exploit open data.

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BlackWidow: Monitoring the Dark Web for Cyber Security Information

Cited by 40 publications

References 14 publications

An Empirical Study of Deep Web based on Graph Analysis

An Empirical Study of Deep Web based on Graph Analysis

Threats from the Dark: A Review over Dark Web Investigation Research for Cyber Threat Intelligence

The Not Yet Exploited Goldmine of OSINT: Opportunities, Open Challenges and Future Trends

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