Machine learning has brought significant advances in cybersecurity, particularly in the
development of Intrusion Detection Systems (IDS). These improvements are mainly …

The Cybersecurity Dynamics framework offers an approach to systematically understanding,
characterizing, quantifying and managing cybersecurity from a holistic perspective. The …

Moving Target Defense and Cyber Deception emerged in recent years as two key proactive
cyber defense approaches, contrasting with the static nature of the traditional reactive cyber …

With the ever-changing cybersecurity landscape, the need for a continuous training for new
cybersecurity skill sets is a requirement. Such continuous training programs can be …

Recognizing the need for proactive analysis of cyber adversary behavior, this paper
presents a new event-driven simulation model and implementation to reveal the efforts …

In this paper, we analyze the infection spreading dynamics of malware in a population of
cyber nodes (ie, computers or devices). Unlike most prior studies where nodes are reactive …

In this paper the authors present the results of an experiment conducted at the 2022 NATO
Cyber Coalition Exercise in Tallinn, Estonia wherein a prototype Autonomous Intelligent …

There is an urgent need to increase multi-agent systems' resilience. Efforts, however, are
hampered by three gaps: current approaches are case study specific, may depend on …

Cyber defenses are increasingly challenged to keep up with attackers who might be using
automation or machine learning as part of their attack strategies. Autonomous defensive …

Rome was not built in a day, but it was burnt to the ground in only six. Wood naturally
catches fire, and without adequate engineering, fireproof houses and training for firefighters …