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Evolution of dark web threat analysis and detection: A systematic approach
Dark Web is one of the most challenging and untraceable mediums adopted by the cyber
criminals, terrorists, and state-sponsored spies to fulfil their illicit motives. Cyber-crimes …
criminals, terrorists, and state-sponsored spies to fulfil their illicit motives. Cyber-crimes …
[HTML][HTML] Sok: An evaluation of the secure end user experience on the dark net through systematic literature review
The World Wide Web (www) consists of the surface web, deep web, and Dark Web,
depending on the content shared and the access to these network layers. Dark Web consists …
depending on the content shared and the access to these network layers. Dark Web consists …
Characterizing activity on the deep and dark web
The deep and darkweb (d2web) refers to limited access web sites that require registration,
authentication, or more complex encryption protocols to access them. These web sites serve …
authentication, or more complex encryption protocols to access them. These web sites serve …
Extending market basket analysis with graph mining techniques: A real case
A common problem for many companies, like retail stores, it is to find sets of products that
are sold together. The only source of information available is the history of sales …
are sold together. The only source of information available is the history of sales …
TCD2: Tree-based community detection in dynamic social networks
Community detection in social networks is an important field of research in data mining and
has an abundant literature. Time varying social networks require algorithms that can comply …
has an abundant literature. Time varying social networks require algorithms that can comply …
LSTM and BERT based transformers models for cyber threat intelligence for intent identification of social media platforms exploitation from darknet forums
Cybercriminals, terrorists, political activists, whistleblowers, and others are drawn to the
darknet market and its use for illicit purposes. Various methods are employed to identify the …
darknet market and its use for illicit purposes. Various methods are employed to identify the …
An unsupervised model for identifying and characterizing dark web forums
Dark Web forums are significantly exploited to trade confidential information and illicit
products by criminals. This paper addresses the problem of how to identify the cluster of …
products by criminals. This paper addresses the problem of how to identify the cluster of …
A systematic survey of online data mining technology intended for law enforcement
As an increasing amount of crime takes on a digital aspect, law enforcement bodies must
tackle an online environment generating huge volumes of data. With manual inspections …
tackle an online environment generating huge volumes of data. With manual inspections …
Machine learning methods for detecting and monitoring extremist information on the internet
In this paper, we employ machine learning methods to solve the problem of countering
terrorism and extremism by using information from the Internet. This problem involves …
terrorism and extremism by using information from the Internet. This problem involves …
Towards a comprehensive insight into the thematic organization of the tor hidden services
M Spitters, S Verbruggen… - 2014 IEEE Joint …, 2014 - ieeexplore.ieee.org
Tor is a popular'darknet', a network that aims to conceal its users' identities and online
activities. Darknets are composed of host machines that cannot be accessed by …
activities. Darknets are composed of host machines that cannot be accessed by …