AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …

Boosted by deep learning, natural language processing (NLP) techniques have recently
seen spectacular progress, mainly fueled by breakthroughs both in representation learning …

Learning the right representations from complex input data is the key ability of successful
machine learning (ML) models. The latter are often tailored to a specific data modality. For …

Darknets are probes listening to traffic reaching IP addresses that host no services. Traffic
reaching a darknet results from the actions of internet scanners, botnets, and possibly …

Network telescopes or “Darknets” received unsolicited Internet-wide traffic, thus providing a
unique window into macroscopic Internet activities associated with malware propagation …

Machine learning and neural networks have become increasingly popular solutions for
encrypted malware traffic detection. They mine and learn complex traffic patterns, enabling …

Network reconnaissance is the first step preceding a cyber-attack. Hence, monitoring the
probing activities is imperative to help security practitioners enhancing their awareness …

Volumetric Distributed Denial of Service (DDoS) attacks have been a severe threat to the
Internet for more than two decades. Some success in mitigation has been achieved based …

As cyberattacks become increasingly prevalent globally, there is a need to identify trends in
these cyberattacks and take suitable countermeasures quickly. The darknet, an unused IP …

Abstract The World Wide Web is the most widely used service on the Internet, although only
a small part of it, the Surface Web, is indexed and accessible. The rest of the content, the …