" When the Code becomes a Crime Scene" Towards Dark Web Threat Intelligence with Software Quality Metrics
The increasing growth of illegal online activities in the so-called dark web—that is, the
hidden collective of internet sites only accessible by a specialized web browsers—has …
hidden collective of internet sites only accessible by a specialized web browsers—has …
Harvesting Large Textual and Multimedia Data to Detect Illegal Activities on Dark Web Marketplaces
G Chatzimarkaki, S Karagiorgou… - … Conference on Big …, 2023 - ieeexplore.ieee.org
During the last decades, the dark web has become the ground for criminal activities,
enabling for illegal content sharing, as well as marketplaces selling drugs and firearms. The …
enabling for illegal content sharing, as well as marketplaces selling drugs and firearms. The …
Exploring and identifying malicious sites in dark web using machine learning
Y Kawaguchi, S Ozawa - … 2019, Sydney, NSW, Australia, December 12 …, 2019 - Springer
In recent years, various web-based attacks such as Drive-by-Download attacks are
becoming serious. To protect legitimate users, it is important to collect information on …
becoming serious. To protect legitimate users, it is important to collect information on …
Threat Miner-A Text Analysis Engine for Threat Identification Using Dark Web Data
Cyber threats continue to grow with novel methods to attack computing systems, highlighting
the need for sophisticated mechanisms and techniques to protect against such dynamic …
the need for sophisticated mechanisms and techniques to protect against such dynamic …
Illicit darkweb classification via natural-language processing: Classifying illicit content of webpages based on textual information
This work aims at expanding previous works done in the context of illegal activities
classification, performing three different steps. First, we created a heterogeneous dataset of …
classification, performing three different steps. First, we created a heterogeneous dataset of …
Detecting malicious URLs using machine learning techniques
The World Wide Web supports a wide range of criminal activities such as spam-advertised e-
commerce, financial fraud and malware dissemination. Although the precise motivations …
commerce, financial fraud and malware dissemination. Although the precise motivations …
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 …
contents of the Dark Web plays a significant role in deterring cybercrimes and understanding …
Detection of malicious webpages using deep learning
Malicious Webpages have been a serious threat on Internet for the past few years. As per
the latest Google Transparency reports, they continue to be top ranked amongst online …
the latest Google Transparency reports, they continue to be top ranked amongst online …
Einspect: Evolution-guided analysis and detection of malicious web pages
B Eshete, A Villafiorita, K Weldemariam… - 2013 IEEE 37th …, 2013 - ieeexplore.ieee.org
Most existing work to thwart malicious web pages capture maliciousness via discriminative
artifacts, learn a model, and detect by leveraging static and/or dynamic analysis …
artifacts, learn a model, and detect by leveraging static and/or dynamic analysis …
Classification of illegal activities on the dark web
S He, Y He, M Li - Proceedings of the 2nd international conference on …, 2019 - dl.acm.org
The strong anonymity and hard-to-track mechanisms of the dark web provide shelter for
illegal activities. The illegal content on the dark web is diverse and frequently updated …
illegal activities. The illegal content on the dark web is diverse and frequently updated …