A New Similarity-Based Classification Scheme of Drone Network Attacks
Salah Dine Maham, Guy Pujolle, Atiq Ahmed, Dominique Gaïti · 2024
The Internet of Drones (IoD) paradigm is an emerging technology that has gained significant attention from the research community in the recent years. Drone networks are now widely utilized across various sectors and industries. However, like all emerging technologies, these networks face numerous challenges with security being the most critical one. The wireless nature of drone communication makes them vulnerable to a range of cyber attacks. Additionally, the limited resources of drones pose challenges for implementing effective security solutions. In this paper, we propose a novel classification that categorizes various attacks on drone networks based on their similarities. The primary objective is to highlight the commonalities between different cyber attacks on drone systems. This classification will serve as the foundation for developing future unified solutions capable of efficiently mitigating multiple attack types simultaneously.