Blockchain-Assisted UAV Communication Systems: A Comprehensive Survey

被引:26
|
作者
Hafeez, Sana [1 ]
Khan, Ahsan Raza [1 ]
Al-Quraan, Mohammad M. [1 ]
Mohjazi, Lina [1 ]
Zoha, Ahmed [1 ]
Imran, Muhammad Ali [1 ]
Sun, Yao [1 ]
机构
[1] Univ Glasgow, James Watt Sch Engn, Elect & Elect Engn, Glasgow G12 8QQ, Scotland
关键词
Blockchain; drone communication; federated learning; privacy; security; UAV networks; NETWORKS; SECURITY; SKY; ARCHITECTURE; CHALLENGES; VEHICLES; ATTACKS; DRONES; 5G;
D O I
10.1109/OJVT.2023.3295208
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Unmanned aerial vehicles (UAVs) have recently established their capacity to provide cost-effective and credible solutions for various real-world scenarios. UAVs provide an immense variety of services due to their autonomy, mobility, adaptability, and communications interoperability. Despite the expansive use of UAVs to support ground communications, data exchanges in those networks are susceptible to security threats because most communication is through radio or Wi-Fi signals, which are easy to hack. While several techniques exist to protect against cyberattacks. Recently emerging technology blockchain could be one of promising ways to enhance data security and user privacy in peer-to-peer UAV networks. Borrowing the superiorities of blockchain, multiple entities can communicate securely, decentralized, and equitably. This article comprehensively overviews privacy and security integration in blockchain-assisted UAV communication. For this goal, we present a set of fundamental analyses and critical requirements that can help build privacy and security models for blockchain and help manage and support decentralized data storage systems. The UAV communication system's security requirements and objectives, including availability, authentication, authorization, confidentiality, integrity, privacy, and non-repudiation, are thoroughly examined to provide a deeper insight. We wrap up with a discussion of open research challenges, the constraints of current UAV standards, and potential future research directions.
引用
收藏
页码:558 / 580
页数:23
相关论文
共 50 条
  • [31] Blockchain-Assisted Trust Management Scheme for Securing VANETs
    Ahmed, Waheeb
    Wu, Di
    Mukathie, Daniel
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2022, 16 (02): : 609 - 631
  • [32] Blockchain-Assisted Generation Rescheduling in Imperfect Market Environments
    Tariq, Salman
    Shaaban, Mohamed
    Mokhlis, Hazlie
    Mansor, Nurulafiqah N.
    Mohamad, Hasmaini
    IEEE ACCESS, 2025, 13 : 15324 - 15338
  • [33] Blockchain-Assisted Reputation Mechanism for Distributed Cloud Storage
    Dong, Qing
    Tang, Jinchuan
    Dang, Shuping
    Chen, Gaojie
    Chambers, Jonathon A.
    IEEE SYSTEMS JOURNAL, 2023, 17 (04): : 6334 - 6345
  • [34] A Blockchain-Assisted Trusted Federated Learning for Smart Agriculture
    T Manoj
    Krishnamoorthi Makkithaya
    V G Narendra
    SN Computer Science, 6 (3)
  • [35] Enabling blockchain-assisted certificateless public integrity checking for industrial cloud storage systems
    Liu, Qing
    Zhang, Xiaojun
    Xue, Jingting
    Zhou, Rang
    Wang, Xin
    Tang, Wei
    JOURNAL OF SYSTEMS ARCHITECTURE, 2023, 140
  • [36] Double layer blockchain-assisted trusted data flow model for industrial control systems
    Peng, Xiangzhen
    Zheng, Chengliang
    Wang, Yidi
    Cui, Xiaohui
    Shen, Zhidong
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2025, 260
  • [37] A Blockchain-Assisted Hash-Based Signature Scheme
    Buldas, Ahto
    Laanoja, Risto
    Truu, Ahto
    SECURE IT SYSTEMS, 2018, 11252 : 138 - 153
  • [38] Blockchain-assisted searchable attribute-based encryption for e-health systems
    Xiang, Xinyin
    Zhao, Xingwen
    JOURNAL OF SYSTEMS ARCHITECTURE, 2022, 124
  • [39] BSLA: Blockchain-assisted Secure and Lightweight Authentication for SGIN
    Guan, Jianfeng
    Wu, Yinan
    Yao, Su
    Zhang, Tianhong
    Su, Xiaokang
    Li, Chuanqing
    COMPUTER COMMUNICATIONS, 2021, 176 : 46 - 55
  • [40] Resource Matching for Blockchain-Assisted Edge Computing Networks
    Fan, Wenhao
    Hao, Zhibo
    Tang, Bihua
    Wu, Fan
    Liu, Yuan'an
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (08): : 14460 - 14471