In the 21st century, the industry of drones, also known as Unmanned Aerial Vehicles (UAVs), has witnessed a rapid increase with its large number of airspace users. The tremendous benefits of this technology in civilian applications such as hostage rescue and parcel delivery will integrate smart cities in the future. Nowadays, the affordability of commercial drones expands their usage on a large scale. However, the development of drone technology is associated with vulnerabilities and threats due to the lack of efficient security implementations. Moreover, the complexity of UAVs in software and hardware triggers potential security and privacy issues. Thus, posing significant challenges for the industry, academia, and governments. In this paper, we extensively survey the security and privacy issues of UAVs by providing a systematic classification at four levels: Hardware-level, Software-level, Communication-level, and Sensor-level. In partic-ular, for each level, we thoroughly investigate (1) common vulnerabilities affecting UAVs for potential attacks from malicious actors, (2) existing threats that are jeopardizing the civilian application of UAVs, (3) active and passive attacks performed by the adversaries to compromise the security and privacy of UAVs, (4) possible countermeasures and mitigation techniques to protect UAVs from such malicious activities. In addition, we summarize the takeaways that highlight lessons learned about UAVs' security and privacy issues. Finally, we conclude our survey by presenting the critical pitfalls and suggesting promising future research directions for security and privacy of UAVs.

A survey on security and privacy issues of UAVs / Mekdad, Yassine; Aris, Ahmet; Babun, Leonardo; El Fergougui, Abdeslam; Conti, Mauro; Lazzeretti, Riccardo; Selcuk Uluagac, A.. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - 224:(2023), pp. 1-25. [10.1016/j.comnet.2023.109626]

A survey on security and privacy issues of UAVs

Riccardo Lazzeretti;
2023

Abstract

In the 21st century, the industry of drones, also known as Unmanned Aerial Vehicles (UAVs), has witnessed a rapid increase with its large number of airspace users. The tremendous benefits of this technology in civilian applications such as hostage rescue and parcel delivery will integrate smart cities in the future. Nowadays, the affordability of commercial drones expands their usage on a large scale. However, the development of drone technology is associated with vulnerabilities and threats due to the lack of efficient security implementations. Moreover, the complexity of UAVs in software and hardware triggers potential security and privacy issues. Thus, posing significant challenges for the industry, academia, and governments. In this paper, we extensively survey the security and privacy issues of UAVs by providing a systematic classification at four levels: Hardware-level, Software-level, Communication-level, and Sensor-level. In partic-ular, for each level, we thoroughly investigate (1) common vulnerabilities affecting UAVs for potential attacks from malicious actors, (2) existing threats that are jeopardizing the civilian application of UAVs, (3) active and passive attacks performed by the adversaries to compromise the security and privacy of UAVs, (4) possible countermeasures and mitigation techniques to protect UAVs from such malicious activities. In addition, we summarize the takeaways that highlight lessons learned about UAVs' security and privacy issues. Finally, we conclude our survey by presenting the critical pitfalls and suggesting promising future research directions for security and privacy of UAVs.
2023
Unmanned Aerial Vehicles; UAVs; Security; Privacy; Drones
01 Pubblicazione su rivista::01a Articolo in rivista
A survey on security and privacy issues of UAVs / Mekdad, Yassine; Aris, Ahmet; Babun, Leonardo; El Fergougui, Abdeslam; Conti, Mauro; Lazzeretti, Riccardo; Selcuk Uluagac, A.. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - 224:(2023), pp. 1-25. [10.1016/j.comnet.2023.109626]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1679910
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