Blockchain-Integrated System Architecture for Secure and Transparent Data Transactions
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Abstract
The growing demand for secure, transparent, and efficient data transaction systems has highlighted the limitations of traditional centralized architectures, particularly in terms of data integrity, trust, and vulnerability to cyber threats. This study proposes a blockchain-integrated system architecture designed to enhance the security and transparency of data transactions. The proposed framework combines layered system design with decentralized blockchain technology, incorporating user, application, blockchain, off-chain storage, and security layers to ensure robust data handling and verification. The architecture leverages cryptographic techniques such as hashing, encryption, and digital signatures to ensure data confidentiality, integrity, and authentication. Additionally, the use of off-chain storage mechanisms addresses scalability challenges by storing large datasets externally while maintaining verifiable references on the blockchain. The workflow emphasizes the role of distributed consensus mechanisms in ensuring transaction legitimacy and preventing unauthorized modifications. By recording transaction hashes on an immutable ledger, the system enables transparent and tamper-proof data verification. The integration of blockchain with traditional architecture offers significant advantages, including decentralization, enhanced security, and improved auditability. However, challenges such as scalability, latency, and interoperability remain areas for further research. Overall, the proposed blockchain-integrated system provides a comprehensive framework for secure and transparent data transactions, making it suitable for applications across various domains, including finance, healthcare, and supply chain management.
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References
[1] Md. Ishtiaque Alam, Mohammad Abdus Sami, Md Abu Kawsar Prodhan Hemal, and Md Lutfor Rahman, “Predictive Analytics and Decision Intelligence for Climate-Resilient Agritech Systems,” Acad. Glob. J. Comput. Sci. Technol. Stud., vol. 2, no. 1 SE-Research Article, pp. 44–56, 2023, doi: 10.32996/agjcsts.2023.2.1.4.
[2] T. R. Sikder, M. A. Siam, M. M. H. Melon, S. M. M. Uddin, S. C. Mohonta, and F. Karim, “A Multimodal Data Analytics Framework for Early Cancer Detection Using Genomic, Radiomic, and Clinical Big Data Fusion,” J. Comput. Sci. Technol. Stud., vol. 5, no. 3, pp. 183–188, 2023.
[3] B. J. A. Juie, J. U. Z. Kabir, R. A. Ahmed, and M. M. Rahman, “Evaluating the impact of telemedicine through analytics: Lessons learned from the COVID-19 era,” J. Med. Heal. Stud., vol. 2, no. 2, pp. 161–174, 2021.
[4] W. Stallings, Cryptography and network security: Principles and practice, 7th ed. Pearson, 2017.
[5] S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system,” Available SSRN 3440802, 2008.
[6] X. Xu, I. Weber, and M. Staples, “Architecture for blockchain applications,” 2019.
[7] J. Bonneau, A. Miller, J. Clark, A. Narayanan, J. A. Kroll, and E. W. Felten, “Sok: Research perspectives and challenges for bitcoin and cryptocurrencies,” in 2015 IEEE symposium on security and privacy, 2015, pp. 104–121.
[8] V. Buterin, “A next-generation smart contract and decentralized application platform,” white Pap., vol. 3, no. 37, pp. 1–2, 2014.
[9] Z. Zheng, S. Xie, H. Dai, X. Chen, and H. Wang, “An overview of blockchain technology: Architecture, consensus, and future trends,” in 2017 IEEE international congress on big data (BigData congress), 2017, pp. 557–564.
[10] J. Benet, “Ipfs-content addressed, versioned, p2p file system,” arXiv Prepr. arXiv1407.3561, 2014.
[11] K. Christidis and M. Devetsikiotis, “Blockchains and smart contracts for the internet of things,” IEEE access, vol. 4, pp. 2292–2303, 2016.
[12] F. Casino, T. K. Dasaklis, and C. Patsakis, “A systematic literature review of blockchain-based applications: Current status, classification and open issues,” Telemat. informatics, vol. 36, pp. 55–81, 2019.
[13] S. Saberi, M. Kouhizadeh, J. Sarkis, and L. Shen, “Blockchain technology and its relationships to sustainable supply chain management,” Int. J. Prod. Res., vol. 57, no. 7, pp. 2117–2135, 2019.
[14] N. Szabo, “Formalizing and securing relationships on public networks,” First monday, 1997.
[15] M. Castro and B. Liskov, “Practical byzantine fault tolerance,” in OsDI, 1999, vol. 99, no. 1999, pp. 173–186.
[16] R. Kahn and R. Wilensky, “A framework for distributed digital object services,” Int. J. Digit. Libr., vol. 6, no. 2, pp. 115–123, 2006.