With the rapidly evolving technological landscape, the huge development of the Internet of
Things, and the embracing of digital transformation, the world is witnessing an explosion in …

In the rapidly changing cybersecurity landscape, threat hunting has become a critical
proactive defense against sophisticated cyber threats. While traditional security measures …

Lateral movement is a key stage of system compromise used by advanced persistent
threats. Detecting it is no simple task. When network host logs are abstracted into discrete …

Unsupervised Deep Learning (DL) techniques have been widely used in various security-
related anomaly detection applications, owing to the great promise of being able to detect …

Cyberattacks represent an ever-growing threat that has become a real priority for most
organizations. Attackers use sophisticated attack scenarios to deceive defense systems in …

Concept drift is one of the most frustrating challenges for learning-based security
applications built on the closeworld assumption of identical distribution between training and …

Host-based threats such as Program Attack, Malware Implantation, and Advanced Persistent
Threats (APT), are commonly adopted by modern attackers. Recent studies propose …

Malware detection has become a major concern due to the increasing number and
complexity of malware. Traditional detection methods based on signatures and heuristics …

Security Operations Centers (SOCs) face the key challenge of handling excessive security
alerts. While existing works have studied this problem qualitatively via user studies, there is …

The increasing connectivity in the 5G Internet of Things networks has enlarged the attack
surface and made the traditional security defense inadequate for sophisticated attackers …