TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Open Access Research Article

An enterprise blockchain model : A reliable cryptography-based cyber-physical systems for securing user data

* , , , , , , ,

* Corresponding author · click or hover a name for details

pp. 2103–2114Vol. 28Issue 5-BAugust 2025DOI: 10.47974/JDMSC-2368 Crossmark XML
Received:
05 Nov 2024
Published Online:
30 Aug 2025
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-2368
Pages:
2103–2114

Abstract

This paper introduces a Cyber-Physical System (CPS) that can be used to improve privacy protection in enterprise Blockchain (BC) systems, particularly in Hyperledger Fabric (HF). The proposed CPS employs advanced methods to facilitate a privacy-preserving authorization mechanism. Using data masking, Homomorphic Encryption (HE), and complex digital signatures, the model ensures the confidentiality of transaction data during the authorization process. Additionally, the implementation of Secure Multiparty Computation (SMC) and Zero-Knowledge Proofs (ZKP) enhances the security of the data by preventing unauthorized personnel from accessing it and ensuring that the approving peers remain anonymous. The solution proposed in the paper addresses the problems of conventional centralized access control, which can be manipulated and has data leakage problems. Experimental results have proved the design’s practical applicability and security trade-off, providing a robust foundation for enterprises to adopt privacy-preserving BC. Thus, the HF platform integration demonstrates the model’s real-world applicability, which developed a secure, scalable, and efficient solution for handling sensitive transactions in distributed networks.

Keywords

Subject Classifications

93E1094A13

References

[1] S. Ben Toumia, C. Berger and H. P. Reiser, “An evaluation of blockchain application requirements and their satisfaction in hyper ledger fabric: A practical experience report,” In IFIP International Conference on Distributed Applications and Interoperable Systems, pp. 3-20, Cham: Springer International Publishing, (2022).
[2] A. A. Dar, F. Reegu and G. Hussain, “Comprehensive Analysis of Enterprise Blockchain: Hyperledger Fabric/Corda/Quorom: Three Different Distributed Leger Technologies for Business”, In International Conference on Mobile Radio Communications & 5G Networks, pp. 383-395, Singapore: Springer Nature Singapore, (2023).
[3] G. Kumar, “Blockchain in enterprise application for pharmaceutical drug traceability,” International Journal of Science and Research, vol. 12, no. 8, pp. 130-134, (2023).
[4] S. B. Toumia, C. Berger and H. P. Reiser, “Evaluating blockchain application requirements and their satisfaction in Hyperledger Fabric,” arXiv preprint arXiv:2111.15399, (2021).
[5] D. Ravi, S. Ramachandran, R. Vignesh, V. R. Falmari and M. Brindha, “Privacy-preserving transparent supply chain management through Hyperledger Fabric,” Blockchain: Research and Applications, vol. 3, no. 2, pp. 100072, (2022).
[6] X. Liang, Q. Zhao, Y. Zhang, H. Liu and Q. Zhang, “EduChain: A highly available education consortium blockchain platform based on Hyperledger Fabric,” Concurrency and Computation: Practice and Experience, vol. 35, no. 18, pp. e6330, (2023).
[7] C. Yang, L. Tan, N. Shi, B. Xu, Y. Cao and K. Yu, “AuthPrivacyChain: A blockchain-based access control framework with privacy protection in cloud,” IEEE Access, vol. 8, pp. 70604-70615, 2020.
[8] W. Rafique, M. Khan, S. Khan and J. S. Ally, “SECUREMED: A blockchain-based privacy-preserving framework for internet of medical things,” Wireless Communications and Mobile Computing, vol. 2023, no. 1, pp. 2558469, (2023).
[9] K. Miyachi and T. K. Mackey, “hOCBS: A privacy-preserving blockchain framework for healthcare data leveraging an on-chain and off-chain system design,” Information processing & management, vol. 58, no. 3, pp. 102535, (2021).
[10] T. H. Kim, G. Kumar, R. Saha, M. K. Rai, W. Buchanan, R. Thomas and M. Alazab, “A privacy-preserving distributed ledger framework for global human resource record management: The blockchain aspect,” IEEE Access, vol. 8, no. 96455-96467, (2020).
[11] M. A. Ghanimi, Hayder, P. Melgarejo-Bolivar Romel, A. Tumi-Figueroa, S. Ray, D. Pankaj and S. Sudhakar, “Merkle-Damgå RD hash functions and blockchains: Securing electronic health records,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-A, pp. 237–248, (2024). 
[12] M. A., Ghanimi, Hayder. T. Gopalakrishnan, G. D. Joel Sunny, K. Amarendra, D. Pankaj and S. Sudhakar, “Chebyshev polynomial approximation in CNN for zero-knowledge encrypted data analysis,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-A, pp. 203–214, (2024).
[13] P. Vidya Sagar, M. A. Ghanimi, Hayder, L. Prabhu Arokia Jesu Raja, D. Pankaj and S. Sudhakar, “Secure multi-party computation in deep learning: Enhancing privacy in distributed neural networks,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-A, pp. 249–259, (2024). 
[14] G. R. K. Rao, M. A. Ghanimi, Hayder, V. Ramachandran, D. Al-Qahtani, D. Pankaj and S. Sudhakar, “Enhanced security in federated learning by integrating homomorphic encryption for privacy-protected, collaborative model training,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-A, pp. 361–370, (2024).
[15] K. Raguru Jaya, T. Gopalakrishnan, M. Divyapushpalakshmi, K. Amarendra, D. Pankaj and S. Sudhakar, “Security and privacy concerns in social networks mathematically modified metaheuristic-based approach,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-A, pp. 371–382, (2024).

Views: 232Downloads: 73Citations: 1