A Survey on Artificial Intelligence and Blockchain Clustering for Enhanced Security in 6G Wireless Networks
Source abstract
Abstract
The advent of 6G wireless technology, which offers previously unattainable data rates, very low latency, and compatibility with a wide range of communication devices, promises to transform the networking environment completely. The 6G wireless proposals aim to expand wireless communication’s capabilities well beyond current levels. This technology is expected to revolutionize how we communicate, connect, and use the power of the digital world. However, maintaining secure and efficient data management becomes crucial as 6G networks grow in size and complexity. This study investigates blockchain clustering and artificial intelligence (AI) approaches to ensure a reliable and trustworthy communication in 6G. First, the mechanisms and protocols of blockchain clustering that provide a trusted and effective communication infrastructure for 6G networks are presented. Then, AI techniques for network security in 6G are studied. The integration of AI and blockchain to ensure energy efficiency in 6G networks is addressed. Next, this paper presents how the 6G’s speed and bandwidth enables AI and the easy management of virtualized systems. Using terahertz connections is sufficient to have virtualized systems move compute environments as well as data. For instance, a computing environment can follow potential security violations while leveraging AI. Such virtual machines can store their findings in blockchains. In 6G scenarios, case studies and real-world applications of AI-powered secure blockchain clustering are given. Moreover, challenges and promising future research opportunities are highlighted. These challenges and opportunities provide insights from the most recent developments and point to areas where AI and blockchain further ensure security and efficiency in 6G networks.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Brain Tumor Detection and Classification · Advanced Wireless Communication Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (100+)
Show source-provided references
1. Survey and performance evaluation of multiple access schemes for next-generation wireless communication systems10.1109/ACCESS.2021.3104509 ↗
2. A survey from 1G to 5G including the advent of 6G: architectures, multiple access techniques, and emerging technologies
3. Security and privacy for 6G: a survey on prospective technologies and challenges10.1109/COMST.2021.3108618 ↗
4. 6G wireless networks: vision, requirements, architecture, and key technologies10.1109/MVT.2019.2921208 ↗
5. Security and privacy in 6G networks: new areas and new challenges10.1016/j.dcan.2020.07.003 ↗
6. Toward 6G networks: use cases and technologies10.1109/MCOM.001.1900411 ↗
7. Blockchain and artificial intelligence for 5G-enabled Internet of Things: challenges, opportunities, and solutions10.1002/ett.4329 ↗
8. AI and blockchain enabled future wireless networks: a survey and outlook
9. A survey of blockchain and artificial intelligence for 6G wireless communications10.1109/COMST.2023.3315374 ↗
10. A survey of computational intelligence for 6G: key technologies, applications and trends10.1109/TII.2021.3052531 ↗
11. Qualitative survey on artificial intelligence integrated blockchain approach for 6G and beyond10.1109/ACCESS.2023.3319083 ↗
12. Blockchain based privacy preserving framework for emerging 6G wireless communications10.1109/TII.2021.3107556 ↗
13. An intelligent wireless transmission toward 6G10.23919/ICN.2021.0017 ↗
14. AI models for green communications towards 6G10.1109/COMST.2021.3130901 ↗
15. Towards secure and efficient integration of blockchain and 6G networks10.1371/journal.pone.0302052 ↗
16. A systematic review of blockchain technology assisted with artificial intelligence technology for networks and communication systems
17. Exploring the integration of blockchain in 6G networks for improved security and efficiency
18. A survey on integrating edge computing with AI and blockchain in maritime domain, aerial systems, IoT, and Industry 4.010.1109/ACCESS.2024.3367118 ↗
19. Enhancing academic credentials: the synergy of blockchain and artificial intelligence
20. Edge computing and its convergence with blockchain in 5G and beyond: security, challenges, and opportunities10.1109/ACCESS.2020.3037108 ↗
21. Blockchain-based secure communication of internet of things in space-air–ground integrated network10.1016/j.future.2024.04.024 ↗
22. Blockchain-based federated learning: a survey and new perspectives10.3390/app14209459 ↗
23. A novel 6G scalable blockchain clustering-based computer vision character detection for mobile images
24. Blockchain and 6G-enabled IoT10.3390/inventions7040109 ↗
25. Blockchain for IoT access control: recent trends and future research directions10.1016/j.jnca.2022.103371 ↗
26. Vericom: a verification and communication architecture for IoT-based blockchain10.1016/j.adhoc.2022.102882 ↗
27. Hyperledger fabric: a distributed operating system for permissioned blockchains
28. Liquid Network [Online]. [cited 2025 Jan 25]. Available from: https://blockstream.com/liquid/.
29. Stacks foundation. Level 2 Stacks chain on the Bitcoin Blockchain [Online]. [cited 2025 Mar 18]. Available from: https://stacks.org/.
30. Secure A. The zilliqa project: a secure, scalable blockchain platform [Online]. [cited 2025 Jan 25]. Available from: https://docs.zilliqa.com/positionpaper.pdf.
31. Kwon J, Buchman E. Cosmos whitepaper, a network of distributed ledgers [Online]. [cited 2025 Jan 25]. Available from: https://wikibitimg.fx994.com/attach/2020/12/16623142020/WBE16623142020_55300.pdf.
32. Blockchain for secure and decentralized artificial intelligence in cybersecurity: a comprehensive review10.1016/j.bcra.2024.100193 ↗
33. Exploring the integration of edge computing and blockchain IoT: principles, architectures, security, and applications10.1016/j.jnca.2024.103884 ↗
34. Artificial intelligence in 6G wireless networks: opportunities, applications, and challenges10.1155/2024/8845070 ↗
35. Patil A, Iyer S, Pandya RJ. A survey of machine learning algorithms for 6G wireless networks. arXiv:2203.08429v1. 2022.10.4018/978-1-6684-3921-0.ch003 ↗
36. Blockchain 6G-based wireless network security management with optimization using machine learning techniques10.3390/s24186143 ↗
37. Machine learning-based detection of DDoS attacks on IoT devices in multi-energy systems10.1016/j.eij.2024.100540 ↗
38. Machine learning techniques for IoT security: current research and future vision with generative AI and large language models10.1016/j.iotcps.2023.12.003 ↗
39. Data-driven malware detection for 6G networks: a survey from the perspective of continuous learning and explainability via visualisation10.1109/OJVT.2022.3219898 ↗
40. Cyber-security and reinforcement learning—a brief survey10.1016/j.engappai.2022.105116 ↗
41. Emerging technologies for 6G communication networks: machine learning approaches10.3390/s23187709 ↗
42. Security requirements and challenges of 6G technologies and applications10.3390/s22051969 ↗
43. Blockchain integration with artificial intelligence and Internet of Things technologies
44. Blockchain and federated learning-based security solutions for telesurgery system: a comprehensive review10.55730/1300-0632.3950 ↗
45. A secure and efficient blockchain enabled federated Q-learning model for vehicular Ad-hoc networks10.1038/s41598-024-82585-3 ↗
46. A study and future challenges in 6G networks: aeronautical network, AI and blockchain
47. A smart contract vulnerability detection mechanism based on deep learning and expert rules10.1109/ACCESS.2023.3298048 ↗
48. A new blockchain-based authentication framework for secure IoT networks10.3390/electronics12173618 ↗
49. A secure data sharing system for 6G networks10.1109/ACCESS.2023.3336399 ↗
50. Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review10.1007/s10462-024-10873-5 ↗
51. Edge artificial intelligence for 6G: vision, enabling technologies, and applications10.1109/JSAC.2021.3126076 ↗
52. Artificial intelligence applications and self-learning 6G networks for smart cities digital ecosystems: taxonomy, challenges, and future directions10.3390/s22155750 ↗
53. On the integration of artificial intelligence and blockchain technology: a perspective about security10.1109/ACCESS.2023.3349019 ↗
54. AI and blockchain integration: enhancing security and transparency in financial transactions
55. The convergence of artificial intelligence and blockchain: the state of play and the road ahead10.3390/info15050268 ↗
56. AI and blockchain integration
57. A review on blockchain technology, current challenges, and AI-driven solutions10.1145/3700641 ↗
58. A critical analysis of the integration of blockchain and artificial intelligence for supply chain10.1007/s10479-023-05169-w ↗
59. Exploring the synergy: AI enhancing blockchain, blockchain empowering AI, and their convergence across IoT applications and beyond10.1109/JIOT.2024.3507746 ↗
60. 6G technologies—security, trust and privacy—Nokia Bell Labs [Internet]. [cited 2025 Jan 25]. Available from: https://www.bell-labs.com/research-innovation/what-is-6g/6g-technologies/security-and-trust.
61. AI and 6G security: opportunities and challenges
62. Physical layer security for 6G: toward achieving intelligent native security at layer-110.1109/ACCESS.2024.3413047 ↗
63. 6G security challenges and potential solutions
64. Federated learning for enhanced cybersecurity and trustworthiness in 5G and 6G networks: a comprehensive survey10.1109/OJCOMS.2024.3449563 ↗
65. A survey on zero trust architecture: applications and challenges of 6G networks10.1109/ACCESS.2024.3425350 ↗
66. Blockchain-based data security for artificial intelligence applications in 6G networks10.1109/MNET.021.1900629 ↗
67. The roadmap to 6G security and privacy10.1109/OJCOMS.2021.3078081 ↗
68. Privacy-preserving AI framework for 6G-enabled consumer electronics10.1109/TCE.2024.3371928 ↗
69. Towards 6G-enabled Internet of vehicles: security and privacy10.1109/OJCOMS.2022.3143098 ↗
70. A systematic survey on 5G and 6G security considerations, challenges, trends, and research areas10.3390/fi16030067 ↗
71. A vision of 6G wireless systems: applications trends technologies and open research problems10.1109/MNET.001.1900287 ↗
72. Security and trust in the 6G era10.1109/ACCESS.2021.3120143 ↗
73. A review on privacy and security in 6G networks
74. Uncovering network vulnerabilities and conducting digital forensics analysis for IoT device security in 6G
75. Digital communication forensics in 6G and beyond networks10.3390/app131910861 ↗
76. Digital forensics challenges and readiness for 6G Internet of Things (IoT) networks10.1002/wfs2.1496 ↗
77. Nguyen T, Nguyen H, Ijaz A, Sheikhi S, Vasilakos AV, Kostakos P. Large language models in 6G security: challenges and opportunities. arXiv:2403.12239v1. 2024.10.1109/VCRIS63677.2024.10813382 ↗
78. Advanced deep learning models for 6G: overview, opportunities, and challenges10.1109/ACCESS.2024.3418900 ↗
79. Comparative analysis of NIJ and NIST methods for microsd investigations: a technopreneur approach10.34306/att.v6i2.407 ↗
80. Five facets of 6G: research challenges and opportunities10.1145/3571072 ↗
81. A survey of network virtualization techniques for Internet of Things using SDN and NFV10.1145/3379444 ↗
82. Zimmer · Beyond BIOS: developing with the unified extensible firmware interface · 2017 · 322
83. Virtual Raspberry Pi-s with blockchain and cybersecurity applications10.1016/bs.adcom.2023.04.005 ↗
84. Bradford · Chains that bind us · 2023 Dec 28 · 240
85. A survey of live virtual machine migration techniques10.1016/j.cosrev.2020.100304 ↗
86. Process migration10.1145/367701.367728 ↗
87. Blockchain for healthcare systems: architecture, security challenges, trends and future directions10.1016/j.jnca.2023.103633 ↗
88. A review of blockchain technology applications for financial services10.1016/j.tbench.2022.100073 ↗
89. Privacy-preserving techniques in generative AI and large language models: a narrative review10.3390/info15110697 ↗
90. Privacy preservation for federated learning in health care10.1016/j.patter.2024.100974 ↗
91. Security concerns on machine learning solutions for 6G networks in mmWave beam prediction10.1016/j.phycom.2022.101626 ↗
92. Autonomous vehicles: sophisticated attacks, safety issues, challenges, open topics, blockchain, and future directions10.3390/jcp3030025 ↗
93. Toward AI-enabled green 6G networks: a resource management perspective10.1109/ACCESS.2024.3460656 ↗
94. Overview of emerging electronics technologies for artificial intelligence: a review10.1016/j.mtelec.2025.100136 ↗
95. Investigating the potential of blockchain technology for geospatial data sharing: opportunities, challenges, and solutions10.1016/j.geomat.2024.100026 ↗
96. A survey on blockchain technology in the maritime industry: challenges and future perspectives10.1016/j.future.2024.03.046 ↗
97. An overview of artificial intelligence ethics10.1109/TAI.2022.3194503 ↗
98. Artificial intelligence and intellectual properties: legal and ethical considerations
99. Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques10.1038/s41598-024-51578-7 ↗
100. Blockchain and machine learning-based hybrid IDS to protect smart networks and preserve privacy10.3390/electronics12163524 ↗