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SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network

Hulya Dogan, Anton Setzer Orcid Logo

Proceedings of the 11th International Conference on Information Systems Security and Privacy, Volume: 1, Pages: 377 - 388

Swansea University Authors: Hulya Dogan, Anton Setzer Orcid Logo

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DOI (Published version): 10.5220/0013330500003899

Abstract

The rapid advancement of drone swarm technology has unlocked a multitude of applications across diverse industrial sectors, including surveillance, delivery services, disaster management, and environmental monitoring. Despite these promising prospects, ensuring secure and efficient communication and...

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Published in: Proceedings of the 11th International Conference on Information Systems Security and Privacy
ISBN: 978-989-758-735-1
ISSN: 2184-4356
Published: SCITEPRESS - Science and Technology Publications 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa68664
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Despite these promising prospects, ensuring secure and efficient communication and coordination among drones within a swarm remains a significant challenge. Key obstacles include maintaining efficiency, facilitating the seamless sharing of sensing data, and achieving robust consensus in the presence of Byzantine drones&#x2014;malicious or faulty UAVs capable of disrupting swarm operations and leading to catastrophic outcomes. To address these challenges, we introduce SABEC (Secure and Adaptive Blockchain-Enabled Coordination Protocol), aninnovative blockchain-based approach designed to manage multidrone collaboration during swarm operations. SABEC improves the security of the consensus achievement process by integrating anefficient blockchain into the UAV network, coupled with a practical and dynamic consensus mechanism. The protocol incentivizes network devices through a scoring system, requiring UAVs tosolve intricate problems employing the Proof of Work (PoW) with Fuzzy C-Modes clustering algorithm. Leader UAVs are dynamically selected within clusters based on a predefined threshold, tasked with transmitting status control information about neighbouring UAVs to a cloud server. The server consolidates these data through a robust consensus mechanism, relaying them to the networkcoordination tier where decision-making consensus is reached, and the data are immutably stored on the blockchain. To facilitate the dynamic and adaptive construction of configurable trusted networks, SABEC employs a consensus protocol based on the blockchain-assisted storage. Comparative experiments conducted using NS3 simulation software demonstrate SABEC&#x2019;s significant advantages over traditional routing and consensus protocols in terms of packet delivery rate, coordination overhead, and average end-to-end delay. 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spelling 2025-03-03T15:59:44.1852089 v2 68664 2025-01-08 SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network 5269d790d8ce12cfdc57019d526e4679 Hulya Dogan Hulya Dogan true false 5f7695285397f46d121207120247c2ae 0000-0001-5322-6060 Anton Setzer Anton Setzer true false 2025-01-08 MACS The rapid advancement of drone swarm technology has unlocked a multitude of applications across diverse industrial sectors, including surveillance, delivery services, disaster management, and environmental monitoring. Despite these promising prospects, ensuring secure and efficient communication and coordination among drones within a swarm remains a significant challenge. Key obstacles include maintaining efficiency, facilitating the seamless sharing of sensing data, and achieving robust consensus in the presence of Byzantine drones—malicious or faulty UAVs capable of disrupting swarm operations and leading to catastrophic outcomes. To address these challenges, we introduce SABEC (Secure and Adaptive Blockchain-Enabled Coordination Protocol), aninnovative blockchain-based approach designed to manage multidrone collaboration during swarm operations. SABEC improves the security of the consensus achievement process by integrating anefficient blockchain into the UAV network, coupled with a practical and dynamic consensus mechanism. The protocol incentivizes network devices through a scoring system, requiring UAVs tosolve intricate problems employing the Proof of Work (PoW) with Fuzzy C-Modes clustering algorithm. Leader UAVs are dynamically selected within clusters based on a predefined threshold, tasked with transmitting status control information about neighbouring UAVs to a cloud server. The server consolidates these data through a robust consensus mechanism, relaying them to the networkcoordination tier where decision-making consensus is reached, and the data are immutably stored on the blockchain. To facilitate the dynamic and adaptive construction of configurable trusted networks, SABEC employs a consensus protocol based on the blockchain-assisted storage. Comparative experiments conducted using NS3 simulation software demonstrate SABEC’s significant advantages over traditional routing and consensus protocols in terms of packet delivery rate, coordination overhead, and average end-to-end delay. These improvements collectively enhance the fault tolerance of UAV networks, ensuring high availability and reliability even in the presence of adversarial nodes. By augmenting the security of consensus achievement, SABEC substantiallyimproves connectivity, security and efficiency within intelligent systems, thereby elevating the potential and stability of multi-drone applications in real-world scenarios. Conference Paper/Proceeding/Abstract Proceedings of the 11th International Conference on Information Systems Security and Privacy 1 377 388 SCITEPRESS - Science and Technology Publications 978-989-758-735-1 2184-4356 UAVs Network, Byzantine Attack, Swarm Drone, Blockchain, Security, Proof of Work (PoW), Fuzzy C-Modes Clustering Algorithm, Fault Tolerance 8 1 2025 2025-01-08 10.5220/0013330500003899 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2025-03-03T15:59:44.1852089 2025-01-08T22:59:12.1805583 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Hulya Dogan 1 Anton Setzer 0000-0001-5322-6060 2 68664__33276__1e39ff43834748df838fd74ed581fb6a.pdf Conference paper.pdf 2025-01-09T16:24:39.5084367 Output 1028950 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en
title SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network
spellingShingle SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network
Hulya Dogan
Anton Setzer
title_short SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network
title_full SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network
title_fullStr SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network
title_full_unstemmed SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network
title_sort SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles(UAVs) Network
author_id_str_mv 5269d790d8ce12cfdc57019d526e4679
5f7695285397f46d121207120247c2ae
author_id_fullname_str_mv 5269d790d8ce12cfdc57019d526e4679_***_Hulya Dogan
5f7695285397f46d121207120247c2ae_***_Anton Setzer
author Hulya Dogan
Anton Setzer
author2 Hulya Dogan
Anton Setzer
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description The rapid advancement of drone swarm technology has unlocked a multitude of applications across diverse industrial sectors, including surveillance, delivery services, disaster management, and environmental monitoring. Despite these promising prospects, ensuring secure and efficient communication and coordination among drones within a swarm remains a significant challenge. Key obstacles include maintaining efficiency, facilitating the seamless sharing of sensing data, and achieving robust consensus in the presence of Byzantine drones—malicious or faulty UAVs capable of disrupting swarm operations and leading to catastrophic outcomes. To address these challenges, we introduce SABEC (Secure and Adaptive Blockchain-Enabled Coordination Protocol), aninnovative blockchain-based approach designed to manage multidrone collaboration during swarm operations. SABEC improves the security of the consensus achievement process by integrating anefficient blockchain into the UAV network, coupled with a practical and dynamic consensus mechanism. The protocol incentivizes network devices through a scoring system, requiring UAVs tosolve intricate problems employing the Proof of Work (PoW) with Fuzzy C-Modes clustering algorithm. Leader UAVs are dynamically selected within clusters based on a predefined threshold, tasked with transmitting status control information about neighbouring UAVs to a cloud server. The server consolidates these data through a robust consensus mechanism, relaying them to the networkcoordination tier where decision-making consensus is reached, and the data are immutably stored on the blockchain. To facilitate the dynamic and adaptive construction of configurable trusted networks, SABEC employs a consensus protocol based on the blockchain-assisted storage. Comparative experiments conducted using NS3 simulation software demonstrate SABEC’s significant advantages over traditional routing and consensus protocols in terms of packet delivery rate, coordination overhead, and average end-to-end delay. These improvements collectively enhance the fault tolerance of UAV networks, ensuring high availability and reliability even in the presence of adversarial nodes. By augmenting the security of consensus achievement, SABEC substantiallyimproves connectivity, security and efficiency within intelligent systems, thereby elevating the potential and stability of multi-drone applications in real-world scenarios.
published_date 2025-01-08T07:39:40Z
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