Secure and Resilient Threat Modelling Strategy for Drone Delivery System

• Published in: Proceedings (IEEE Region 10 Symposium. Online) pp. 1 - 6
• Main Authors: Sharma, Desh Deepak, Sarojwal, Atul
• Format: Conference Proceeding
• Language: English
• Published: IEEE 27-09-2024
• Subjects: Digital signatures; drone delivery cost; Drones; DSA; IEEE Regions; Navigation; Particle swarm optimization; Privacy; private keys; Protection; public keys; Reliability; threat actors; Threat modeling
• ISSN: 2642-6102
• DOI: 10.1109/TENSYMP61132.2024.10752205

Several unmanned aerial vehicles (UAVs) are used in multi-drone delivery systems to move packages and supplies from a distribution center to specific delivery locations. The key challenges in multi-drone delivery are navigating complex aviation, reliable performance, protection of drones from hacking, ensuring the security of deliveries, gaining public trust, and maintaining privacy. This paper suggests an approach to develop the secured and authentic data structure of drone delivery systems. The paper presents the common threat actors, and identifies different stages of possible threats in drone delivery. The various threat modeling tools are mentioned. This paper proposes the DSA (digital signature algorithm) based secure and resilient algorithm for drone-delivery systems.