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Darkweb research: Past, present, and future trends and map** to sustainable development goals
The Darkweb, part of the deep web, can be accessed only through specialized computer
software and used for illegal activities such as cybercrime, drug trafficking, and exploitation …
software and used for illegal activities such as cybercrime, drug trafficking, and exploitation …
Didarknet: A contemporary approach to detect and characterize the darknet traffic using deep image learning
Darknet traffic classification is significantly important to categorize real-time applications.
Although there are notable efforts to classify darknet traffic which rely heavily on existing …
Although there are notable efforts to classify darknet traffic which rely heavily on existing …
[HTML][HTML] Tor hidden services: A systematic literature review
DL Huete Trujillo, A Ruiz-Martínez - Journal of Cybersecurity and Privacy, 2021 - mdpi.com
Anonymous communications networks were created to protect the privacy of
communications, preventing censorship and traffic analysis. The most famous anonymous …
communications, preventing censorship and traffic analysis. The most famous anonymous …
[HTML][HTML] Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach
Spam emails are unsolicited, annoying and sometimes harmful messages which may
contain malware, phishing or hoaxes. Unlike most studies that address the design of efficient …
contain malware, phishing or hoaxes. Unlike most studies that address the design of efficient …
Darkbert: A language model for the dark side of the internet
AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images
Nowadays, the growing number of cases of possession and distribution of Child Sexual
Abuse (CSA) material pose a significant challenge for Law Enforcement Agencies (LEAs). In …
Abuse (CSA) material pose a significant challenge for Law Enforcement Agencies (LEAs). In …