Counter-measures to spoofing and jamming of drone signals

Abstract

Technological revolution has done wonders in Aeronautics. With the evolution Unmanned Aerial vehicle, not only the military sector but also the commercial and industrial sectors use drones for various purposes. The global Unmanned Aerial Vehicle (UAV) market size is projected to reach $133.5 billion by 2026, from $25.9 billion in 2019, at a compound annual growth rate of 26.4% during 2021-2026. As the technology usage increases, its security plays a vital role in research. The idea behind this paper is to discuss definite and efficient countermeasures to spoofing and jamming of drone signals. The detection and mitigation of spoofing and jamming using new cyber security techniques including blockchain, deep learning using multiclass SVM, Co-operative localisation, Hardware sandboxing and Visual Odometry are explored. It also presents a deep analysis of all techniques along with the pros and cons of each method.

Keywords: Unmanned Aerial Vehicle (UAV), Anti-Jamming, Anti-Spoofing, Intrusion Detection system (IDS), Global positioning system (GPS)