Threats that have been primarily targeting nation states and their associated entities have
expanded the target zone to include the private and corporate sectors. This class of threats …

Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …

In today's cyber warfare realm, every stakeholder in cyberspace is becoming more potent by
developing advanced cyber weapons. They have equipped with the most advanced …

Despite decades of research in network traffic analysis and incredible advances in artificial
intelligence, network intrusion detection systems based on machine learning (ML) have yet …

In recent years, the number and variety of malicious mobile apps have increased drastically,
especially on Android platform, which brings insurmountable challenges for malicious app …

In the evolving landscape of cybersecurity, the detection of Advanced Persistent Threats
(APTs) remains a formidable challenge, where conventional methods often falter in the …

Abstract Advanced Persistent Threats (APTs) have recently emerged as a significant security
challenge for a cyber-physical system due to their stealthy, dynamic and adaptive nature …

Context One of the main targets of cyber-attacks is data exfiltration, which is the leakage of
sensitive or private data to an unauthorized entity. Data exfiltration can be perpetrated by an …

Automated detection methods for targeted cyber attacks are getting more and more
prominent. In order to test these methods properly, it is crucial to have a suitable dataset …

One of the most common and critical destructive attacks on the victim system is the
advanced persistent threat (APT)-attack. An APT attacker can achieve its hostile goal …