Block chain technologies for UAV swarms and UAV-based networks, SLR
Unmanned aerial vehicles (UAVs) and swarms unmanned aerial vehicles (UAVs) have recently shown themselves capable of providing dependable and reasonably priced solutions for a variety of real-world issues. UAVs provide a wide range of services due to their autonomy, adaptability, mobility, and communications interoperability. Despite the fact that UAVs are frequently used to facilitate ground communications, data exchanges inside those networks are susceptible to security threats due to the ease with which radio and Wi-Fi signals can be hacked. However, there are many ways to stop cyberattacks. One of the potential methods to enhance user privacy, data security, and authentication—especially in peer-to-peer UAV networks—may be blockchain technology, which has lately gained prominence. Using the benefits of blockchain technology, several entities can communicate in a decentralized. This paper uses some supporting technologies to provide a thorough overview of privacy and security integration in blockchain-assisted swarm and UAV networks. For this goal, this work is compared to earlier research to find effective solutions, and blockchain technology is integrated to improve the capacity of swarm UAV networks and communication to move, manage, and exchange data. We conclude by talking about open research issues, the limitations of the UAV standards as they stand right now, and possible research paths in the future. This comprehensive review is an invaluable tool to know study and analyze a good number of reviews and research papers in recent years to overcome obstacles and find appropriate solutions for integrating UAV swarms with block chain Technology.
Authors
- Hella Kaffel Ben Ayed (ORCID: https://orcid.org/0000-0002-4433-7719)
- Naser Naser
- Jihene khoualdi
- Khadija Rammeh Houerbi
Publication Details
- Journal
- Fusion Practice and Applications
- Published
- 2024-12-30
- DOI
- https://doi.org/10.54216/fpa.180101
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00