Tags → #reinforcement learning

TrojanForge Tool Uses Reinforcement Learning for Hardware Security

TrojanForge is a new tool that utilizes Reinforcement Learning to generate adversarial examples of Hardware Trojans, enhancing the detection and understanding of hardware security vulnerabilities.
Evaluation of Transformer-Based Cybersecurity Policies in Simulation

Cybersecurity professionals recently evaluated the effectiveness of Transformer-based policies, specifically the RogueNet model, within the Yawning Titan simulation to enhance cybersecurity strategies against evolving threats.
Generalizable Autonomous Penetration Testing Framework Explained

The Generalizable Autonomous Pentesting (GAP) framework offers a structured approach for cybersecurity professionals to identify and mitigate vulnerabilities across various environments.
Advancements in Cyber Defense Using Reinforcement Learning

Researchers are increasingly utilizing deep reinforcement learning to enhance automated cyber defense strategies, aiming to improve organizations' ability to recognize and respond to diverse cyber threats.
Multi-Objective Reinforcement Learning for Cyber Defence Proposed

A study published by IEEE in 2024 explores the use of Multi-Objective Reinforcement Learning for enhancing automated cyber defense against complex threats.