Quantum Reinforcement Learning Agent for Adaptive Firewall Rule Optimization Under Dynamic Attacks
As attacks grow in sophistication, the requirements for intelligent and adaptive security structures that can make real-time decisions on whether to defend or not, exceed what can be achieved with a rule-based approach. This paper aims to explore a Cyber Security system that uses a Quantum Deep Q-Network (QDQN) framewo...