research-article

Blockchain-enabled secure communication for unmanned aerial vehicle (UAV) networks

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Alireza JolfaeiAuthors Info & Claims

DroneCom '22: Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond

Pages 37 - 42

https://doi.org/10.1145/3555661.3560861

Published: 24 October 2022 Publication History

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Abstract

While 5G can provide high-speed Internet connectivity and over-the-horizon control for Unmanned Aerial Vehicles (UAVs), authentication becomes a key security component in 5G-enabled UAVs. This is due to fact that the communicating entities in the network mostly uses unsecured communication channel to exchange critical surveillance data. Authentication thus plays a crucial role in the 5G-enabled UAV network, providing a range of security services such as credential privacy, Session-Key (SK) security, and secure mutual authentication. However, transparency, anonymity, traceability and centralized control are few major security requirements that cannot be fulfilled by the traditional authentication schemes. One of the upcoming technologies that can provide a solution for present centralized 5G-enabled UAV network is blockchain-based authentication scheme. Motivated from aforementioned discussion, this paper presents a Permissioned Blockchain empowered Secure Authentication and Key Agreement framework in 5G-enabled UAVs. In this framework, first an authentication phase between UAV-to-UAV, UAV-to-Edge Server (ES) and Edge-to-Cloud Server (CS) supporting mutual authentication and key agreement is proposed. The authenticated surveillance data collected from UAV is used by the peer-to-peer CS for transaction verification, block creation and addition using smart contract-based consensus mechanism. The practical implementation of framework shows the effectiveness of the proposed approach.

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Cited By

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Adel AJan T(2024)Watch the Skies: A Study on Drone Attack Vectors, Forensic Approaches, and Persisting Security ChallengesFuture Internet10.3390/fi1607025016:7(250)Online publication date: 13-Jul-2024
https://doi.org/10.3390/fi16070250
Kumar RJaveed DAljuhani AJolfaei AKumar PIslam A(2024)Blockchain-Based Authentication and Explainable AI for Securing Consumer IoT ApplicationsIEEE Transactions on Consumer Electronics10.1109/TCE.2023.332015770:1(1145-1154)Online publication date: Feb-2024
https://doi.org/10.1109/TCE.2023.3320157
Xiao WHong DJiang SLi W(2024)MU-BISE: Multi-UAV Collaborative Mapping based on Blockchain Information Security Enhancement2024 3rd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC)10.1109/RAIIC61787.2024.10670766(241-244)Online publication date: 5-Jul-2024
https://doi.org/10.1109/RAIIC61787.2024.10670766
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Index Terms

Blockchain-enabled secure communication for unmanned aerial vehicle (UAV) networks
1. Security and privacy
  1. Cryptography
    1. Symmetric cryptography and hash functions

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Published In

DroneCom '22: Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond

October 2022

138 pages

ISBN:9781450395144

DOI:10.1145/3555661

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 October 2022

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ACM MobiCom '22

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SIGMOBILE

ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking

October 17, 2022

NSW, Sydney, Australia

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Cited By

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Adel AJan T(2024)Watch the Skies: A Study on Drone Attack Vectors, Forensic Approaches, and Persisting Security ChallengesFuture Internet10.3390/fi1607025016:7(250)Online publication date: 13-Jul-2024
https://doi.org/10.3390/fi16070250
Kumar RJaveed DAljuhani AJolfaei AKumar PIslam A(2024)Blockchain-Based Authentication and Explainable AI for Securing Consumer IoT ApplicationsIEEE Transactions on Consumer Electronics10.1109/TCE.2023.332015770:1(1145-1154)Online publication date: Feb-2024
https://doi.org/10.1109/TCE.2023.3320157
Xiao WHong DJiang SLi W(2024)MU-BISE: Multi-UAV Collaborative Mapping based on Blockchain Information Security Enhancement2024 3rd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC)10.1109/RAIIC61787.2024.10670766(241-244)Online publication date: 5-Jul-2024
https://doi.org/10.1109/RAIIC61787.2024.10670766
Peddibhotla UKumar RSobin CKumar PJaveed DIslam N(2024)Securing Agricultural Communications: Blockchain Integration in UAV Networks for Smart Farming2024 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCWorkshops59551.2024.10615542(1443-1449)Online publication date: 9-Jun-2024
https://doi.org/10.1109/ICCWorkshops59551.2024.10615542
Aggarwal SMittal A(2024)Futuristic hospitality conceptualized: DASH - Decentralized Autonomous and Smart Hotel systemJournal of Open Innovation: Technology, Market, and Complexity10.1016/j.joitmc.2024.10022310:1(100223)Online publication date: Mar-2024
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Kumar RAljuhani AJaveed DKumar PIslam SIslam A(2024)Digital Twins-enabled Zero Touch Network: A smart contract and explainable AI integrated cybersecurity frameworkFuture Generation Computer Systems10.1016/j.future.2024.02.015156(191-205)Online publication date: Jul-2024
https://doi.org/10.1016/j.future.2024.02.015
Li ZChen QLi JHuang JMo WWong DJiang H(2024)A secure and efficient UAV network defense strategyComputer Standards & Interfaces10.1016/j.csi.2024.10384490:COnline publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1016/j.csi.2024.103844
Khandekar AAhmad S(2024)Secured IoT architecture for personalized marketing using blockchain framework with deep learning technologyCluster Computing10.1007/s10586-024-04372-zOnline publication date: 16-May-2024
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Cao ZYan HWu ZLi DWen B(2023)A Novel Model Based on Deep Learning Approach Combining Data Decomposition Technique and Grouping Distribution Strategy for Water Demand Forecasting of Urban UsersJournal of Circuits, Systems and Computers10.1142/S021812662450007533:01Online publication date: 27-Jun-2023
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Chakir ORehaimi ASadqi YAbdellaoui Alaoui EKrichen MGaba GGurtov A(2023)An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0Journal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2023.02.00935:3(103-119)Online publication date: 1-Mar-2023
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