Threats from the dark: a review over dark web investigation research for cyber threat intelligence

R Basheer, B Alkhatib - Journal of Computer Networks and …, 2021 - Wiley Online Library
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 …

[PDF][PDF] Dark web illegal activities crawling and classifying using data mining techniques

AHM Alaidi, M Roa'a, H ALRikabi, IA Aljazaery… - iJIM, 2022 - academia.edu
Dark web is a canopy concept that denotes any kind of illicit activities carried out by
anonymous persons or organizations, thereby making it difficult to trace. The illicit content on …

Darknet traffic big-data analysis and network management for real-time automating of the malicious intent detection process by a weight agnostic neural networks …

K Demertzis, K Tsiknas, D Takezis, C Skianis, L Iliadis - Electronics, 2021 - mdpi.com
Attackers are perpetually modifying their tactics to avoid detection and frequently leverage
legitimate credentials with trusted tools already deployed in a network environment, making …

Malware Detection with Artificial Intelligence: A Systematic Literature Review

MG Gaber, M Ahmed, H Janicke - ACM Computing Surveys, 2024 - dl.acm.org
In this survey, we review the key developments in the field of malware detection using AI and
analyze core challenges. We systematically survey state-of-the-art methods across five …

Darknet traffic analysis and network management for malicious intent detection by neural network frameworks

P William, S Choubey, A Choubey… - … Intelligence for the Dark …, 2022 - igi-global.com
Security breaches may be difficult to detect because attackers are continually tweaking
methods to evade detection and utilize legitimate credentials that have already been …

PostCog: A tool for interdisciplinary research into underground forums at scale

I Pete, J Hughes, A Caines, AV Vu… - 2022 IEEE European …, 2022 - ieeexplore.ieee.org
Underground forums provide useful insights into cybercrime, where researchers analyse
underlying economies, key actors, their discussions and interactions, as well as different …

The Art of Cybercrime Community Research

J Hughes, S Pastrana, A Hutchings, S Afroz… - ACM Computing …, 2024 - dl.acm.org
In the last decade, cybercrime has risen considerably. One key factor is the proliferation of
online cybercrime communities, where actors trade products and services, and also learn …

Computational approaches to detect illicit drug ads and find vendor communities within social media platforms

F Zhao, P Skums, A Zelikovsky… - … ACM transactions on …, 2020 - ieeexplore.ieee.org
The opioid abuse epidemic represents a major public health threat to global populations.
The role social media may play in facilitating illicit drug trade is largely unknown due to …

Dark web forum correlation analysis research

Y Yang, L Yang, M Yang, H Yu, G Zhu… - 2019 IEEE 8th Joint …, 2019 - ieeexplore.ieee.org
With the rapid development of the Internet, the dark network has also been widely used in
the Internet [1]. Due to the anonymity of the dark network, many illegal elements have …

Dark Web Marketplaces: Data for Collaborative Threat Intelligence

K Connolly, A Klempay, M McCann… - Digital Threats: Research …, 2023 - dl.acm.org
The dark web has become an increasingly important landscape for the sale of illicit cyber
goods. Given the prevalence of malware and tools that are used to steal data from …