Litcius/Paper detail

Defending Airports from UAS: A Survey on Cyber-Attacks and Counter-Drone Sensing Technologies

Georgia Lykou, Dimitrios Moustakas, Dimitris Gritzalis

2020Sensors246 citationsDOIOpen Access PDF

Abstract

As the fastest growing segment of aviation, unmanned aerial systems (UAS) continue to increase in number, technical complexity and capabilities. Numerous civilian and commercial uses are drastically transforming civil protection, asset delivery, commercial and entertaining activities. However, UAS pose significant challenges in terms of safety, security and privacy within society. An increasing phenomenon, nowadays, is drone-related incidents near airport facilities, which are expected to proliferate in frequency, complexity and severity, as drones become larger and more powerful. Critical infrastructures need to be protected from such aerial attacks, through effective counteracting technologies, risk management and resilience plans. In this paper, we present a survey of drone incidents near airports and a literature review of sensor technologies, able to prevent, detect, identify and mitigate rogue drones. We exhibit the benefits and limitations of available counter-drone technologies (C-UAS); however, defending airports against misused drone activity is a hard problem. Therefore, we analyze three realistic attack scenarios from malicious drones and propose an effective C-UAS protection plan for each case. We discuss applicability limitations of C-UAS in the aviation context and propose a resilience action plan for airport stakeholders for defending against airborne threats from misused drones.

Topics & Concepts

DroneResilience (materials science)Computer securityContext (archaeology)AviationAirport securityPlan (archaeology)Risk analysis (engineering)AeronauticsComputer scienceEngineeringBusinessGeographyThermodynamicsAerospace engineeringArchaeologyBiologyGeneticsPhysicsAnomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking MethodsAdversarial Robustness in Machine Learning