Blockchain and AI Amalgamation for IoT Applications beyond 5G: A Case Study of Enhancing Data Security and Privacy in 5G-IoT Ecosystems

Authors

  • Mahendra Singh Bora Associate Professor, Department of Computer Science, Shriram Institute of Management and Technology, Kashipur, Uttarakhand, India
  • Pankaj Tewari Assistant Professor, Department of Computer Science, Shriram Institute of Management and Technology, Kashipur, Uttarakhand, India

DOI:

https://doi.org/10.5281/zenodo.18042753

Keywords:

blockchain, smart contracts, artificial intelligence, IoT, 5G, data security, privacy, 5G-IoT ecosystems

Abstract

The Internet of Things (IoT) in connection with blockchain technology and artificial intelligence (AI) concerning beyond 5G (B5G) networks promises a revolutionary means of coping with the most topical issues of data privacy and existing security concerns. With 5G technology indicating a new age of a higher connectivity, high bandwidth and ultra-low latency, it will also result in increasing the vulnerabilities that have been alleged with IoT ecosystems. In this research paper, we address the issue of how blockchain and AI can be integrated to enhance data security, data privacy within the 5G-IOT systems. The main directions are the use of the decentralized and immutable ledger with blockchain to securely conduct data transactions, applying the AI to intelligent processing of the data and real-time threats detection, the combination of the technologies to build robust, autonomous, and safe IoT systems.

Downloads

Download data is not yet available.

References

Zhou, W., Zhang, Y., & Liu, P. (2018). The effect of IoT new features on security and privacy: New threats, existing solutions, and challenges yet to be solved. IEEE Internet of Things Journal, 6(2), 1606-1616.

https://ieeexplore.ieee.org/document/8386824

Singh, S., Singh, N. (2016). Blockchain: Future of financial and cyber security. Proceedings of the 2nd International Conference on Contemporary Computing and Informatics (IC3I), pp. 463-467. https://ieeexplore.ieee.org/document/7918009

Sicari, S., Rizzardi, A., Grieco, L. A., & Coen-Porisini, A. (2015). Security, privacy and trust in Internet of Things: The road ahead. Computer Networks, 76, 146-164. https://www.sciencedirect.com/science/article/abs/pii/S1389128614003971

Roman, R., Najera, P., & Lopez, J. (2011). Securing the Internet of Things. Computer, 44(9), 51-58. https://ieeexplore.ieee.org/document/6017172

Mollah, M. B., Zhao, J., & Niyato, D. (2020). A comprehensive review of blockchain and AI techniques in the smart grid: Past, present, and future. IEEE Access, 8, 150653-150670. https://ieeexplore.ieee.org/document/9090812

Hassija, V., Chamola, V., & Sikdar, B. (2020). A survey on IoT security: Application areas, security threats, and solution architectures. IEEE Access, 7, 82721-82743. https://ieeexplore.ieee.org/document/8742551

Dorri, A., Kanhere, S. S., Jurdak, R., & Gauravaram, P. (2017). Blockchain for IoT security and privacy: The case study of a smart home. Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 618-623. https://ieeexplore.ieee.org/document/7917634

M. N. Aman, K. C. Chua, & B. Sikdar. (2017). Mutual authentication in IoT systems using physical unclonable functions. IEEE Internet of Things Journal, 4(5), 1327–1340.

D. F. Rajesh Kandaswamy. (2018). Blockchain-based transformation. https://www.gartner.com/en/doc/3869696-blockchain-basedtransformation-a-gartner-trend-insight-report/

GSMA. (2019). Safety, privacy and security. https://www.gsma.com/publicpolicy/resources/safetyprivacy-security-across-mobileecosystem/

Flashpoint. (2018). Mirai botnet linked to dyn DNS DDoS attacks. https://www.flashpoint-intel.com/blog/cybercrime/mirai-botnet-linked-dyn-dns-ddos-attacks/

M. Frustaci, P. Pace, G. Aloi, & G. Fortino. (2018). Evaluating critical security issues of the iot world: present and future challenges. IEEE Internet of Things Journal, 5(4), 2483–2495.

Y. Yang, L. Wu, G. Yin, L. Li, & H. Zhao. (2017). A survey on security and privacy issues in internet-of-things. IEEE Internet of Things Journal, 4(5), 1250–1258.

Smarthomeblog. (2019). How to make your smoke detecter smarter. https://www.smarthomeblog.net/smart-smoke-detector/

Dai, H. N., Zheng, Z., & Zhang, Y. (2019). Blockchain for Internet of Things: A survey. IEEE Internet of Things Journal, 6(5), 8076-8094. https://ieeexplore.ieee.org/document/8731639

Reis, M. (2025). Blockchain-enhanced security for 5G edge computing in IoT. Computation. https://doi.org/10.3390/computation13040098

M. Tahir, M. H. Habaebi, M. Dabbagh, A. Mughees, A. Ahad, & K. I. Ahmed. (2020). A review on application of blockchain in 5G and beyond networks: Taxonomy, field-trials, challenges and opportunities. IEEE Access, 8, 115876-115904. doi:10.1109/ACCESS.2020.3003020.

M. A. Ferrag, M. Derdour, M. Mukherjee, A. Derhab, L. Maglaras, & H. Janicke. (2019). Blockchain technologies for the Internet of Things: Research issues and challenges. IEEE Internet Things J., 6(2), 2188–2204.

R. Alexander. (2018). Iota-Introduction to the tangle technology: Everything You need to know about the revolutionary blockchain alternative. Independently Published.

Published

2025-11-29
CITATION
DOI: 10.5281/zenodo.18042753
Published: 2025-11-29

How to Cite

Bora, M. S., & Tewari, P. (2025). Blockchain and AI Amalgamation for IoT Applications beyond 5G: A Case Study of Enhancing Data Security and Privacy in 5G-IoT Ecosystems. Applied Science and Engineering Journal for Advanced Research, 4(6), 1–8. https://doi.org/10.5281/zenodo.18042753