4 citations · 4 across the 5 of their papers we have counts for
5 papers
Guidelines for Applying RL and MARL in Cybersecurity Applications
Vasilios Mavroudis, Gregory Palmer, Sara Farmer +6
Reinforcement Learning (RL) and Multi-Agent Reinforcement Learning (MARL) have emerged as promising methodologies for addressing challenges in automated cyber defence (ACD). These…
An Empirical Game-Theoretic Analysis of Autonomous Cyber-Defence Agents
Gregory Palmer, Luke Swaby, Daniel J. B. Harrold +5
The recent rise in increasingly sophisticated cyber-attacks raises the need for robust and resilient autonomous cyber-defence (ACD) agents. Given the variety of cyber-attack tactic…
Machine Theory of Mind for Autonomous Cyber-Defence
Luke Swaby, Matthew Stewart, Daniel Harrold +2
Intelligent autonomous agents hold much potential for the domain of cyber-security. However, due to many state-of-the-art approaches relying on uninterpretable black-box models, th…
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding
Sofiane Laridi, Gregory Palmer, Kam-Ming Mark Tam
In Federated Learning (FL), anomaly detection (AD) is a challenging task due to the decentralized nature of data and the presence of non-IID data distributions. This study introduc…
Deep Reinforcement Learning for Autonomous Cyber Defence: A Survey
Gregory Palmer, Chris Parry, Daniel J. B. Harrold +1
The rapid increase in the number of cyber-attacks in recent years raises the need for principled methods for defending networks against malicious actors. Deep reinforcement learnin…