Ghazal, T M, Fayyaz, Fatima, Afifi, Mohammed A. M., Abbas, Sagheer and Hamadi, Hussam Al (2022) Drones network security enhancement using smart based block-chain technology. In: 2022 International Conference on Cyber Resilience (ICCR), 06-07 October 2022, Dubai, United Arab Emirates.
Full text not available from this repository. (Request a copy)Abstract
Drones, also known as unmanned aerial vehicles (UAVs), can sometimes put just on trying to fly Internet of Things (IoT) environment to perform a variety of tasks, including monitoring systems, crisis management, photogrammetry, remote monitoring opponents at borders, and even more. The development of high-speed data transmission protocols (i.e., 5G and 6G networks) is constantly evolving the paradigm of the Internet of Drones for diverse fields. Installed drones can sense and gather data while safely transmitting it to a ground server station (GSS). After turning the acquired data into safe encryption, the server station sends it to a peer-to-peer cloud server network (P2PCS). Finally, from that encryption blocks are created and added to the blockchain which is implemented by P2PCS network. In this paper, the proposed blockchain-enabled framework based on protected communication between Internets of Drones environments.
Affiliation: | Skyline University College |
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SUC Author(s): | Ghazal, T M ORCID: https://orcid.org/0000-0003-0672-7924 |
All Author(s): | Ghazal, T M, Fayyaz, Fatima, Afifi, Mohammed A. M., Abbas, Sagheer and Hamadi, Hussam Al |
Item Type: | Conference or Workshop Item (Paper) |
Uncontrolled Keywords: | Resistance, Turning, Blockchains, Encryption, Servers, Internet of Things, Task analysis |
Subjects: | B Information Technology > BP Internet of Things |
Divisions: | Skyline University College > School of IT |
Depositing User: | Mr Mosys Team |
Date Deposited: | 26 Jan 2024 15:01 |
Last Modified: | 26 Jan 2024 15:01 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/773 |
Publisher URL: | https://doi.org/10.1109/ICCR56254.2022.9995827 |
Publisher OA policy: | |
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