AI-Driven Adaptive Encryption For Iotblockchain Networks

Joseph S; Pandeeswari N

doi:10.29284/vzsmq163

Authors

Joseph S Assistant professor, Department of Electronics and communication Engineering, Christian College of Engineering and technology, Near check post, oddanchatram, 624619, Dindigul
Pandeeswari N Associate Professor, Department of Information Technology, PSNA College of Engineering and Technology, Dindigul.

DOI:

https://doi.org/10.29284/vzsmq163

Keywords:

Adaptive encryption, blockchain, storage security, performance enhancement and efficiency comparisons.

Abstract

The rapid expansion of the Internet of Things (IoT) and blockchain technology has introduced new challenges in securing data transmission while maintaining efficiency. Traditional encryption methods often struggle to adapt to the dynamic and resource-constrained nature of IoT networks. This paper proposes an AI-driven adaptive encryption framework that enhances blockchain-based IoT security by dynamically adjusting encryption parameters based on network conditions, device capabilities, and threat levels. Leveraging machine learning algorithms, the system continuously analyzes real-time data to optimize encryption strength, ensuring robust security while minimizing computational overhead. Additionally, the integration of blockchain enhances data integrity, providing a tamper-resistant and trustless environment. Our approach enables scalable, energy-efficient, and intelligent encryption mechanisms tailored to IoT ecosystems. Experimental evaluations demonstrate significant improvements in security, processing efficiency, and adaptability compared to conventional encryption models. This research contributes to the evolution of self-learning, autonomous security protocols for next-generation IoT-blockchain architectures.

References

1. S. Nakamoto, "Bitcoin: A Peer-to-Peer Electronic Cash System," 2008. [Online]. Available: https://bitcoin.org/bitcoin.pdf

(A foundational paper on blockchain technology.)

2. M. Conti, A. Dehghantanha, K. Franke, and S. Watson, "Internet of Things Security and Forensics: Challenges and Opportunities," Future Generation Computer Systems, vol. 78, pp. 544–546, 2018.

(Discusses security vulnerabilities and forensic techniques for IoT systems.)

3. R. Roman, J. Zhou, and J. Lopez, "On the Features and Challenges of Security and Privacy in Distributed Internet of Things," Computer Networks, vol. 57, no. 10, pp. 2266–2279, 2013.

(Provides an in-depth analysis of IoT security and privacy issues.)

4. Y. Zhang, J. Ren, and W. Zhang, "Blockchain-Based Data Sharing for AI-Enabled Industrial Internet of Things," IEEE Transactions on Industrial Informatics, vol. 16, no. 3, pp. 1835–1846, 2020.

(Explores the intersection of blockchain, AI, and IoT for secure data sharing.)

5. H. Liu, Q. Wang, and W. Sun, "AI-Enabled Lightweight Cryptography for IoT Devices," IEEE Internet of Things Journal, vol. 7, no. 5, pp. 4264–4273, 2021.

(Proposes AI-driven adaptive encryption techniques for IoT security.)

6. A. Dorri, S. Kanhere, R. Jurdak, "Blockchain for IoT Security and Privacy: The Case Study of a Smart Home," IEEE PerCom Workshops, 2017.

(Analyzesblockchain-based security mechanisms for IoT applications.)

7. S. Shukla, M. Dhawan, S. Sharma, S. Venkatesan, "Blockchain Technology: Principles and Applications," Springer, 2019.

(Explains blockchain architecture and security applications.)

8. J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang, W. Zhao, "A Survey on Internet of Things: Architecture, Enabling Technologies, Security, and Privacy," IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1125–1142, 2017.

(Comprehensive review of IoT security challenges and solutions.)

9. A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015.

(Covers IoT encryption protocols and adaptive security frameworks.)

10. P. K. Sharma, S. Rathore, and J. H. Park, "DistBlockNet: A Distributed Blockchain-Based Secure SDN Architecture for IoT Networks," IEEE Communications Magazine, vol. 55, no. 9, pp. 78–85, 2017.

(Discusses blockchain-based security for IoT and SDN integration.)

11. M. A. Ferrag, L. Shu, X. Yang, A. Derhab, and L. Maglaras, "Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges," IEEE Access, vol. 8, pp. 32031–32053, 2020.

12. S. Singh, P. K. Sharma, S. Y. Moon, D. Park, and J. H. Park, "Advanced Lightweight Encryption Algorithms for IoT Devices: Survey, Challenges and Solutions," Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 8, pp. 3085–3094, 2019.

13. M. A. Ferrag and L. Maglaras, "DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids," IEEE Transactions on Engineering Management, vol. 67, no. 4, pp. 1285–1297, 2020.

A. Dorri, S. S. Kanhere, R. Jurdak, and P. Gauravaram, "Blockchain for IoT Security and Privacy: The Case Study of a Smart Home," in Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2017, pp. 618–623.

14. M. A. Ferrag, M. Derdour, M. Mukherjee, A. Derhab, L. Maglaras, and H. Janicke, "Blockchain Technologies for the Internet of Things: Research Issues and Challenges," IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2188–2204, 2019.

15. S. Nakamoto, "Bitcoin: A Peer-to-Peer Electronic Cash System," 2008. [Online]. Available: https://bitcoin.org/bitcoin.pdf

16. M. Conti, A. Dehghantanha, K. Franke, and S. Watson, "Internet of Things Security and Forensics: Challenges and Opportunities," Future Generation Computer Systems, vol. 78, pp. 544–546, 2018.

17. R. Roman, J. Zhou, and J. Lopez, "On the Features and Challenges of Security and Privacy in Distributed Internet of Things," Computer Networks, vol. 57, no. 10, pp. 2266–2279, 2013.

18. Y. Zhang, J. Ren, and W. Zhang, "Blockchain-Based Data Sharing for AI-Enabled Industrial Internet of Things," IEEE Transactions on Industrial Informatics, vol. 16, no. 3, pp. 1835–1846, 2020.

19. H. Liu, Q. Wang, and W. Sun, "AI-Enabled Lightweight Cryptography for IoT Devices," IEEE Internet of Things Journal, vol. 7, no. 5, pp. 4264–4273, 2021.

A. Dorri, S. Kanhere, R. Jurdak, "Blockchain for IoT Security and Privacy: The Case Study of a Smart Home," IEEE PerCom Workshops, 2017.

20. S. Shukla, M. Dhawan, S. Sharma, S. Venkatesan, "Blockchain Technology: Principles and Applications," Springer, 2019.

21. J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang, W. Zhao, "A Survey on Internet of Things: Architecture, Enabling Technologies, Security, and Privacy," IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1125–1142, 2017.

22. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015.

23. P. K. Sharma, S. Rathore, and J. H. Park, "DistBlockNet: A Distributed Blockchain-Based Secure SDN Architecture for IoT Networks," IEEE Communications Magazine, vol. 55, no. 9, pp. 78–85, 2017.

24. M. A. Ferrag, L. Shu, X. Yang, A. Derhab, and L. Maglaras, "Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges," IEEE Access, vol. 8, pp. 32031–32053, 2020.

25. S. Singh, P. K. Sharma, S. Y. Moon, D. Park, and J. H. Park, "Advanced Lightweight Encryption Algorithms for IoT Devices: Survey, Challenges and Solutions," Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 8, pp. 3085–3094, 2019.

26. M. A. Ferrag and L. Maglaras, "DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids," IEEE Transactions on Engineering Management, vol. 67, no. 4, pp. 1285–1297, 2020.

27. Dorri, S. S. Kanhere, R. Jurdak, and P. Gauravaram, "Blockchain for IoT Security and Privacy: The Case Study of a Smart Home," in Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2017, pp. 618–623.

28. M. A. Ferrag, M. Derdour, M. Mukherjee, A. Derhab, L. Maglaras, and H. Janicke, "Blockchain Technologies for the Internet of Things.