Capture of UAVs Through GPS Spoofing

Gaspar, João; Ferreira, Renato; Sebastião, Pedro; Souto, Nuno

doi:10.1109/gws.2018.8686727

Cited by 37 publications

(17 citation statements)

References 3 publications

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“…Another example of exploiting GPS vulnerability is that of the UnicornTeam, a group of security researchers focusing on systems based on radio technologies. They proved, in [14], through several approaches, that it is possible to spoof a GPS receiver, which the present authors have also demonstrated in [15]. Some more robust systems have already been developed in order to solve the problem of unauthorized drones.…”

Section: Introductionsupporting

confidence: 55%

A Software Defined Radio Based Anti-UAV Mobile System with Jamming and Spoofing Capabilities

Ferreira

Gaspar

Sebastião

et al. 2022

Sensors

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The number of incidents between unmanned aerial vehicles (UAVs) and aircrafts at airports and airfields has been increasing over the last years. To address the problem, in this paper we describe a portable system capable of protecting areas against unauthorized UAVs, which is based on the use of low-cost SDR (software defined radio) platforms. The proposed anti-UAV system supports target localization and integrates effective jamming techniques with the generation of global positioning system (GPS) spoofing signals aimed at the drone. Real-life tests of the implemented prototype have shown that the proposed approach is capable of stopping the reliable reception of radionavigation signals and can also divert or even take control of unauthorized UAVs, whose flight path depends on the information obtained by the GPS system.

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Section: Introductionsupporting

confidence: 55%

A Software Defined Radio Based Anti-UAV Mobile System with Jamming and Spoofing Capabilities

Ferreira

Gaspar

Sebastião

et al. 2022

Sensors

Self Cite

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“…However, this also leaves the system more vulnerable to spoofing attacks [128] . A fake GNSS signal can be broadcast in an area making the UAV in that area perceive as if it is located in a different position, giving virtual control of the UAV to the spoofer [ 129 , 130 ].…”

Section: Uav Neutralizing Techniquesmentioning

confidence: 99%

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

et al. 2021

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Unmanned Aerial Vehicles (UAV) have revolution- ized the aircraft industry in this decade. UAVs are now capable of carrying out remote sensing, remote monitoring, courier delivery, and a lot more. A lot of research is happening on making UAVs more robust using energy harvesting techniques to have a better battery lifetime, network performance and to secure against attackers. UAV networks are many times used for unmanned missions. There have been many attacks on civilian, military, and industrial targets that were carried out using remotely controlled or automated UAVs. This continued misuse has led to research in preventing unauthorized UAVs from causing damage to life and property. In this paper, we present a literature review of UAVs, UAV attacks, and their prevention using anti-UAV techniques. We first discuss the different types of UAVs, the regulatory laws for UAV activities, their use cases, recreational, and military UAV incidents. After understanding their operation, various techniques for monitoring and preventing UAV attacks are described along with case studies.

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“…It is relatively difficult to spoof military drones as they are highly equipped with encryption mechanisms. Spoofing can be done using multiple transmitting antennas [37], in which the attackers transmitting antenna combines with the corresponding receiving antenna and transmits the false signals. The spoofer can take the drone to any trajectory he/she wants without even giving the controller a hint as fake coordinates are sent to the controller at regular intervals.…”

Section: A Security Issues In Dronesmentioning

confidence: 99%

Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey

Hassija,

Chamola,

Agrawal

et al. 2021

Preprint

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Drone security is currently a major topic of discussion among researchers and industrialists. Although there are multiple applications of drones, if the security challenges are not anticipated and required architectural changes are not made, the upcoming drone applications will not be able to serve their actual purpose. Therefore, in this paper, we present a detailed review of the security-critical drone applications, and security-related challenges in drone communication such as DoS attacks, Man-in-the-middle attacks, De-Authentication attacks, and so on. Furthermore, as part of solution architectures, the use of Blockchain, Software Defined Networks (SDN), Machine Learning, and Fog/Edge computing are discussed as these are the most emerging technologies. Drones are highly resource-constrained devices and therefore it is not possible to deploy heavy security algorithms on board. Blockchain can be used to cryptographically store all the data that is sent to/from the drones, thereby saving it from tampering and eavesdropping. Various ML algorithms can be used to detect malicious drones in the network and to detect safe routes. Additionally, the SDN technology can be used to make the drone network reliable by allowing the controller to keep a close check on data traffic, and fog computing can be used to keep the computation capabilities closer to the drones without overloading them.

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Capture of UAVs Through GPS Spoofing

Cited by 37 publications

References 3 publications

A Software Defined Radio Based Anti-UAV Mobile System with Jamming and Spoofing Capabilities

A Software Defined Radio Based Anti-UAV Mobile System with Jamming and Spoofing Capabilities

A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey

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