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

The article focuses on enhancing the security of air traffic control (ATC) systems through a novel Agent-based Adaptive Risk-aware Access Control (AARAC) framework. This framework employs multi-agent systems that dynamically assess risk by analyzing real-time agent activities, past behavior, and current air traffic context to compute risk scores, which then govern access to sensitive ATC resources. Integrating zero trust architecture principles—including non-persistent connections and two-factor authentication—the system continuously verifies agents to mitigate insider threats and cyberattacks. A case study simulation demonstrates how the framework adjusts access privileges based on risk levels, improving security and operational efficiency compared to traditional static access control models. The research highlights the scalability and adaptability of AARAC, proposing future enhancements through automated policy updates responsive to evolving air traffic conditions.