Understanding Dark Web: A Systematic Literature Review

dc.contributor.authorAbdellatif, Tamer Mohamed
dc.contributor.authorSaid, Raed A.
dc.contributor.authorGhazal, Taher M.
dc.date.copyright© 2022
dc.descriptionThis work is not available in the CUD collection. The version of the scholarly record of this conference paper is published in the 2022 International Conference on Cyber Resilience (ICCR) (2022), available online at: https://doi.org/10.1109/ICCR56254.2022.9995741
dc.description.abstractWeb evolution and Web 2.0 social media tools facilitate communication and support the online economy. On the other hand, these tools are actively used by extremist, terrorist and criminal groups. These malicious groups use these new communication channels, such as forums, blogs and social networks, to spread their ideologies, recruit new members, market their malicious goods and raise their funds. They rely on anonymous communication methods that are provided by the new Web. This malicious part of the web is called the 'dark web'. Dark web analysis became an active research area in the last few decades, and multiple research studies were conducted in order to understand our enemy and plan for counteract. We have conducted a systematic literature review to identify the state-of-art and open research areas in dark web analysis. We have filtered the available research papers in order to obtain the most relevant work. This filtration yielded 28 studies out of 370. Our systematic review is based on four main factors: the research trends used to analyze dark web, the employed analysis techniques, the analyzed artifacts, and the accuracy and confidence of the available work. Our review results have shown that most of the dark web research relies on content analysis. Also, the results have shown that forum threads are the most analyzed artifacts. Also, the most significant observation is the lack of applying any accuracy metrics or validation techniques by most of the relevant studies. As a result, researchers are advised to consider using acceptance metrics and validation techniques in their future work in order to guarantee the confidence of their study results. In addition, our review has identified some open research areas in dark web analysis which can be considered for future research work. © 2022 IEEE.
dc.identifier.citationAbdellatif, T. M., Said, R. A., & Ghazal, T. M. (2022). Understanding dark web: A systematic literature review. In 2022 International Conference on Cyber Resilience (ICCR), pp. 1-10, https://doi.org/10.1109/ICCR56254.2022.9995741
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relationAuthors Affiliations : Abdellatif, T.M., Canadian University, Faculty of Engineering, Applied Sciences and Technology, Dubai, United Arab Emirates; Said, R.A., Canadian University, Faculty of Management, United Arab Emirates; Ghazal, T.M., Universiti Kebangsaan Malaysia (UKM), Center for Cyber Security, Faculty of Information Science and Technology, Selangor, Bangi, 43600, Malaysia
dc.relation.ispartofseriesInternational Conference on Cyber Resilience, ICCR 2022
dc.rightsPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holderCopyright : 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectDark web
dc.subjectsystematic literature review
dc.titleUnderstanding Dark Web: A Systematic Literature Review
dc.typeConference Paper
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