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Secure UAV adhoc network with blockchain technology

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  • Mohammed A Alqarni

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.

Suggested Citation

  • Mohammed A Alqarni, 2024. "Secure UAV adhoc network with blockchain technology," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-16, May.
  • Handle: RePEc:plo:pone00:0302513
    DOI: 10.1371/journal.pone.0302513
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    References listed on IDEAS

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    1. Atul B. Kathole & Jayashree Katti & Dharmesh Dhabliya & Vivek Deshpande & Anand Singh Rajawat & S. B. Goyal & Maria Simona Raboaca & Traian Candin Mihaltan & Chaman Verma & George Suciu, 2022. "Energy-Aware UAV Based on Blockchain Model Using IoE Application in 6G Network-Driven Cybertwin," Energies, MDPI, vol. 15(21), pages 1-17, November.
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