17 citations · 22 across the 7 of their papers we have counts for
7 papers
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach
F. Janez-Martino, R. Alaiz-Rodriguez, V. Gonzalez-Castro +2
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 anti-sp…
Classification of Spam Emails through Hierarchical Clustering and Supervised Learning
Francisco Jáñez-Martino, Eduardo Fidalgo, Santiago González-Martínez +1
Spammers take advantage of email popularity to send indiscriminately unsolicited emails. Although researchers and organizations continuously develop anti-spam filters based on bina…
Perceptual Hashing applied to Tor domains recognition
Rubel Biswas, Roberto A. Vasco-Carofilis, Eduardo Fidalgo Fernandez +2
The Tor darknet hosts different types of illegal content, which are monitored by cybersecurity agencies. However, manually classifying Tor content can be slow and error-prone. To s…
Classifying Suspicious Content in Tor Darknet
Eduardo Fidalgo Fernandez, Roberto Andrés Vasco Carofilis, Francisco Jáñez Martino +1
One of the tasks of law enforcement agencies is to find evidence of criminal activity in the Darknet. However, visiting thousands of domains to locate visual information containing…
Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse Detection
Mhd Wesam Al-Nabki, Eduardo Fidalgo, Roberto A. Vasco-Carofilis +2
The information technology revolution has facilitated reaching pornographic material for everyone, including minors who are the most vulnerable in case they were abused. Accuracy a…
Improving Named Entity Recognition in Tor Darknet with Local Distance Neighbor Feature
Mhd Wesam Al-Nabki, Francisco Jañez-Martino, Roberto A. Vasco-Carofilis +2
Name entity recognition in noisy user-generated texts is a difficult task usually enhanced by incorporating an external resource of information, such as gazetteers. However, gazett…
Classification of Industrial Control Systems screenshots using Transfer Learning
Pablo Blanco Medina, Eduardo Fidalgo Fernandez, Enrique Alegre +3
Industrial Control Systems depend heavily on security and monitoring protocols. Several tools are available for this purpose, which scout vulnerabilities and take screenshots from…