Security of 6G-Enabled Vehicle-to-Everything Communication in Emerging Federated Learning and Blockchain Technologies

被引:8
|
作者
Kim, Myoungsu [1 ]
Oh, Insu [1 ]
Yim, Kangbin [1 ]
Sahlabadi, Mahdi [2 ]
Shukur, Zarina [2 ]
机构
[1] Soonchunhyang Univ, Dept Informat Secur Engn, Asan 31538, South Korea
[2] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Cyber Securit, Bangi 43600, Malaysia
基金
新加坡国家研究基金会;
关键词
Security; 6G mobile communication; Vehicle-to-everything; Blockchains; Surveys; Computer architecture; Automotive engineering; V2X; security; 6G; federated learning; blockchain; PHYSICAL-LAYER SECURITY; V2X; 6G; CHALLENGES; AUTHENTICATION; INTELLIGENT; SYSTEMS; REQUIREMENTS; MANAGEMENT; INTERNET;
D O I
10.1109/ACCESS.2023.3348409
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Sixth-generation (6G) communication is emerging as a seamless and massive connection of almost all digital devices. Vehicles, which are extensively linked with human mobility, must keep up with a certain technological pace to maintain compatibility with the 6G era. 6G is also expected to potentially revolutionize Vehicle-to-Everything (V2X) communication. However, this modernization will surface several security challenges in the complex heterogeneous architecture of V2X communication in 6G. Similarly, the expansion of V2X is expected to introduce its own unconventional security risks and vulnerabilities. Therefore, the current paper aims to provide an overview of the security challenges associated with and solutions for V2X communication in the upcoming 6G era to visualize the future of this research domain. This paper discusses the architecture and standards utilized in 6G-enabled V2X communications and provisions a comprehensive analysis of V2X security in the Confidentiality, Integrity, Availability, Authentication, and Access Control (CIA(3)) domains. Through this process, we analyze the impact of the emerging technological concepts of Blockchain and Federated Learning (FL) in 6G-enabled V2X communication. Therefore, we propose a Blockchain-enabled FL-based generic security architecture for V2X communication in 6G networks. Ultimately, this review highlights the key lessons that have been learned and the future research directions in the domain of security of V2X communications in the 6G including Privacy in 3D Fog Computing, Privacy in Augmented Reality, Secure Software Defined Networking (SDN), Physical Layer Security in the THz Spectrum, SUMO (Simulation of Urban MObility), and Intrusion Detection using AI.
引用
收藏
页码:33972 / 34001
页数:30
相关论文
共 50 条
  • [41] Toward 6G Vehicle-to-Everything Sidelink: Nonorthogonal Multiple Access in the Autonomous Mode
    Bazzi, Alessandro
    Campolo, Claudia
    Todisco, Vittorio
    Bartoletti, Stefania
    Decarli, Nicolo
    Molinaro, Antonella
    Berthet, Antoine O.
    Stirling-Gallacher, Richard A.
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2023, 18 (02): : 50 - 59
  • [42] Toward On-Device AI and Blockchain for 6G-Enabled Agricultural Supply Chain Management
    Zawish M.
    Ashraf N.
    Ansari R.I.
    Davy S.
    Qureshi H.K.
    Aslam N.
    Hassan S.A.
    IEEE Internet of Things Magazine, 2022, 5 (02): : 160 - 166
  • [43] Accurate Interpretation of the Online Learning Model for 6G-Enabled Internet of Things
    Huang, Jinchao
    Li, Guofu
    Tian, Jianwei
    Li, Shenghong
    IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (20): : 15228 - 15239
  • [44] Toward Federated-Learning-Enabled Visible Light Communication in 6G Systems
    Naser, Shimaa
    Bariah, Lina
    Muhaidat, Sami
    Sofotasios, Paschalis C.
    Al-Qutayri, Mahmoud
    Damiani, Ernesto
    Debbah, Merouane
    IEEE WIRELESS COMMUNICATIONS, 2022, 29 (01) : 48 - 56
  • [45] Survival Study on Blockchain Based 6G-Enabled Mobile Edge Computation for IoT Automation
    Sekaran, Ramesh
    Patan, Rizwan
    Raveendran, Arunprasath
    Al-Turjman, Fadi
    Ramachandran, Manikandan
    Mostarda, Leonardo
    IEEE ACCESS, 2020, 8 : 143453 - 143463
  • [46] Emerging Technologies for 6G Communication Networks: Machine Learning Approaches
    Puspitasari, Annisa Anggun
    An, To Truong
    Alsharif, Mohammed H.
    Lee, Byung Moo
    SENSORS, 2023, 23 (18)
  • [47] Blockchain Empowered Federated Learning for Distributed Network Security Behaviour Knowledge Base in 6G
    Li, Kun
    Zhou, Huachun
    Tu, Zhe
    Liu, Feiyang
    Zhang, Hongke
    SECURITY AND COMMUNICATION NETWORKS, 2022, 2022
  • [48] Multi-layer neural network algorithm for vehicle-to-everything communication in 5G networks
    Feki, Souhir
    Hamdi, Monia
    Belghith, Aymen
    Zarai, Faouzi
    Algarni, Abeer D.
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2023, 36 (07)
  • [49] Blockchain-enabled Zero Trust-based Secure and Energy Efficient scheme for 6G-enabled UASNs
    Altaf Hussain
    Shuaiyong Li
    Tariq Hussain
    Razaz Waheeb Attar
    Ahmed Alhomoud
    Reem Alsagri
    Ahmad Ali Alzubi
    Journal of Cloud Computing, 14 (1)
  • [50] Ensemble and Gossip Learning-Based Framework for Intrusion Detection System in Vehicle-to-Everything Communication Environment
    Ali, Muhammad Nadeem
    Imran, Muhammad
    Ullah, Ihsan
    Raza, Ghulam Musa
    Kim, Hye-Young
    Kim, Byung-Seo
    SENSORS, 2024, 24 (20)