Agent based adaptive risk aware access control for air traffic control system

The increasing complexity and critical nature of air traffic control systems demand robust and scalable security mechanisms to ensure the safe and efficient management of airspace. This research proposes a novel approach that uses multi-agent systems with adaptive risk-aware access control for air traffic control systems. The framework incorporates real-time risk assessment, past behavior analysis, and current air traffic context to compute an agent's risk profile before granting access to the sensitive air traffic control data. This ensures that agents with higher risk are not granted restricted access to critical resources. Additionally, security features such as non-persistent connections and two factor authentication are incorporated to further enhance the system's resilience against the cyber threats. The proposed framework is evaluated through a case study, demonstrating that it significantly enhances the security of air traffic control systems compared to the traditional approaches. By ensuring that the access rights are dynamically adjusted based on an agent's behavior and current air traffic conditions, the system mitigates potential risks while maintaining operational efficiency.