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Secure UAV adhoc network with blockchain technology.

Authors :
Alqarni MA
Source :
PloS one [PLoS One] 2024 May 08; Vol. 19 (5), pp. e0302513. Date of Electronic Publication: 2024 May 08 (Print Publication: 2024).
Publication Year :
2024

Abstract

Recent advances in aerial robotics and wireless transceivers have generated an enormous interest in networks constituted by multiple compact unmanned aerial vehicles (UAVs). UAV adhoc networks, i.e., aerial networks with dynamic topology and no centralized control, are found suitable for a unique set of applications, yet their operation is vulnerable to cyberattacks. In many applications, such as IoT networks or emergency failover networks, UAVs augment and provide support to the sensor nodes or mobile nodes in the ground network in data acquisition and also improve the overall network performance. In this situation, ensuring the security of the adhoc UAV network and the integrity of data is paramount to accomplishing network mission objectives. In this paper, we propose a novel approach to secure UAV adhoc networks, referred to as the blockchain-assisted security framework (BCSF). We demonstrate that the proposed system provides security without sacrificing the performance of the network through blockchain technology adopted to the priority of the message to be communicated over the adhoc UAV network. Theoretical analysis for computing average latency is performed based on queuing theory models followed by an evaluation of the proposed BCSF approach through simulations that establish the superior performance of the proposed methodology in terms of transaction delay, data secrecy, data recovery, and energy efficiency.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: © 2024 Mohammed A. Alqarni. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Details

Language :
English
ISSN :
1932-6203
Volume :
19
Issue :
5
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
38718032
Full Text :
https://doi.org/10.1371/journal.pone.0302513