Darknet traffic classification is crucial for identifying anonymous network applications and
defensing cyber crimes. Although notable research efforts have been dedicated to …

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

Cyber threat intelligence (CTI) is widely recognized as an important area in cybersecurity but
it remains an area showing silos and reserved for large organizations. For an area whose …

The increased interest in secure and reliable communications has turned the analysis of
network traffic data into a predominant topic. A high number of research papers propose …

Featured Application Optimal design of feature vectors for early-phase attack detection in
large communication networks. Abstract The consolidation of encryption and big data in …

The cyberspace continues to evolve more complex than ever anticipated, and same is the
case with security dynamics there. As our dependence on cyberspace is increasing day-by …

Abstract Cyber Threat Intelligence (CTI) plays an indispensable role in providing evidence-
based knowledge to plan defensive strategies against advanced cyber attacks. Most threat …

Streaming data analysis is increasingly required in applications, eg, IoT, cybersecurity,
robotics, mechatronics or cyber-physical systems. Despite its relevance, it is still an …

Network telescopes provide a unique window into Internet-wide malicious activities
associated with malware propagation, denial of service attacks, network reconnaissance …

Among network analysts,“anomaly” and “outlier” are terms commonly associated to network
attacks. Attacks are outliers (or anomalies) in the sense that they exploit communication …