Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 May 2021.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 2.
4 papers.
- 2022TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial Videoscited by 10
- 2023Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insightscited by 4
- 2024Enhancing Privacy and Security of Autonomous UAV Navigationcited by 1
- 2024Towards Building Secure UAV Navigation with FHE-aware Knowledge Distillationcited by 0
- 2024Towards Building Secure UAV Navigation with FHE-aware Knowledge Distillation1 Nov 2024
- 2024Enhancing Privacy and Security of Autonomous UAV Navigation26 Apr 2024
- 2023Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights7 Dec 2023
- 2022TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial Videos16 Oct 2022