Autonomous Cyber Operations (ACO) involves the development of blue team (defender)
and red team (attacker) decision-making agents in adversarial scenarios. To support the …

Network security is a critical discipline in the contemporary digital world, encompassing
diverse technologies and strategies aimed at safeguarding computer systems, networks …

Network security investigations pose many challenges to security analysts attempting to
identify the root cause of security alarms or incidents. Analysts are often presented with …

Cyber defense exercises are an important avenue to understand the technical capacity of
organizations when faced with cyber-threats. Information derived from these exercises often …

Autonomous Cyber Operations (ACO) involves the consideration of blue team (defender)
and red team (attacker) decision-making models in adversarial scenarios. To support the …

Cyber security adversaries and engagements are ubiquitous and ceaseless. We delineate
Adversarial Genetic Programming for Cyber Security, a research topic that, by means of …

We investigate artificial intelligence and machine learning methods for optimizing the
adversarial behavior of agents in cybersecurity simulations. Our cybersecurity simulations …

As machine learning models become more capable, they have exhibited increased potential
in solving complex tasks. One of the most promising directions uses deep reinforcement …

We introduce a new cybersecurity project named RIVALS. RIVALS will assist in developing
network defense strategies through modeling adversarial network attack and defense …

The focus on cyber security as an interaction between technical elements and humans has
typically confined consideration of the latter to practical issues of implementation …