This study leverages reinforcement learning techniques to identify optimal strategies for cyber defense. These techniques are applied within a cybersecurity game framework, resulting in a continuous, adversarial decision-making scenario between two agents – an attacker and a defender. The findings offer valuable insights for defenders aiming to protect data from cyber threats.
Research on the effectiveness of cyber security awareness in ICS Risk Assessment Frameworks
Evaluating the awareness of security among users plays a critical role in safeguarding Industrial Control Systems...