2AS-DS: Anonymous Authentication Scheme Based on Physical Unclonable Function for Drone Swarms
Ilyes Ahmim, Nacira Ghoualmi‐Zine, Fériel Bouakkaz, Abderrezak Rachedi · 2024
Drone swarms involve multiple drones working together to accomplish tasks beyond the capability of single drones. Effectively detecting, tracking, and managing the anticipated increase in air traffic is growing a significant challenge. Drone traffic management must adhere to regulations and spatiotemporal limitations, such as no-fly zones or zones with restricted flight times. The Federal Aviation Administration (FAA) recently established a new rule to enhance drone accountability. This standard mandates that drone broadcast messages disclosing identity over the wireless channel. This requirement raises security and privacy issues for drones, as unauthorized individuals can identify drones in a given area, potentially leading to attacks. Additionally, due to the large number of drones in each swarm, it is not optimal for each drone to contact the control server directly. In this work, we propose anonymous authentication scheme using PUF (Physically Unclonable Functions), aimed at ensuring security and efficiency for drone swarms to verify their access authority (named 2AS-DS). 2AS-DS is designed to fully comply with FAA regulations while ensuring anonymity and untraceability of drone broadcast messages. Only the Trusted Authority (e.g., the control server) can reveal the drone's long-term identity. Security analyses demonstrate that 2AS-DS is secure, interoperable and scalable. Therefore, it may be useful for drone swarm applications.