Authors :
Vikas Prajapati
Volume/Issue :
Volume 10 - 2025, Issue 3 - March
Google Scholar :
https://tinyurl.com/5awm4waa
Scribd :
https://tinyurl.com/7z65nc9s
DOI :
https://doi.org/10.38124/ijisrt/25mar1062
Google Scholar
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Abstract :
Blockchain technology, a decentralized and immutable ledger, has transformed identity and access management
(IAM) by enhancing security, privacy, and trust in digital ecosystems. Ensuring safe authentication and data integrity is
made possible by its integration with sophisticated cryptographic techniques like zero-knowledge proofs (ZKPs) and public-
key infrastructure (PKI). Other methods include verifiable credentials (VCs) and decentralized identifiers (DIDs). This
paper provides a comprehensive analysis of blockchain-based IAM systems, comparing leading blockchain platforms,
including Ethereum, Hyperledger Indy, IOTA, and IoTeX, in identity management. The role of blockchain in mitigating
identity-related threats, such as identity theft and unauthorized access, is explored through decentralization, immutability,
and smart contract automation. Additionally, key security enhancements, including cryptographic mechanisms that
strengthen decentralized identity solutions and privacy-preserving authentication, are examined. The potential of
blockchain to establish a self-sovereign identity framework that fosters trust, scalability, and security in digital identity
ecosystems is highlighted, paving the way for the next generation of identity management solutions.
Keywords :
Blockchain, Decentralized Identity (DID), Security, Privacy, Interoperability, Identity Management, Digital Identity, Smart Contracts.
References :
- S. S. Galazova and L. R. Magomaeva, “The transformation of traditional banking activity in digital,” Int. J. Econ. Bus. Adm., 2019, doi: 10.35808/ijeba/369.
- N. Sfetcu, Philosophy of Blockchain Technology - Ontologies. 2019. doi: 10.58679/mm73548.
- M. A. Bouras, Q. Lu, F. Zhang, Y. Wan, T. Zhang, and H. Ning, “Distributed ledger technology for ehealth identity privacy: State of the art and future perspective,” Sensors (Switzerland). 2020. doi: 10.3390/s20020483.
- S. Cucko, S. Becirovic, A. Kamisalic, S. Mrdovic, and M. Turkanovic, “Towards the Classification of Self-Sovereign Identity Properties,” IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3199414.
- N. Naik and P. Jenkins, “Sovrin Network for Decentralized Digital Identity: Analysing a Self-Sovereign Identity System Based on Distributed Ledger Technology,” in ISSE 2021 - 7th IEEE International Symposium on Systems Engineering, Proceedings, 2021. doi: 10.1109/ISSE51541.2021.9582551.
- S. Nakamoto, “Bitcoin: a peer-to-peer electronic cash system, October 2008,” Cited on, 2008.
- G. Wood, “Ethereum: a secure decentralised generalised transaction ledger,” Ethereum Proj. Yellow Pap., 2014.
- M. M. Merlec and H. P. In, “Blockchain-Based Decentralized Storage Systems for Sustainable Data Self-Sovereignty: A Comparative Study,” Sustainability, vol. 16, no. 17, 2024, doi: 10.3390/su16177671.
- F. E. Alzhrani, K. A. Saeedi, and L. Zhao, “A taxonomy for characterizing blockchain systems,” IEEE Access, vol. 10, pp. 110568–110589, 2022.
- S. Gulyamov and S. Raimberdiyev, “Personal Data Protection as a Tool to Fight Cyber Corruption,” Int. J. Law Policy, vol. 1, no. 7, Sep. 2023, doi: 10.59022/ijlp.119.
- H. Honar Pajooh, M. Rashid, F. Alam, and S. Demidenko, “Hyperledger fabric blockchain for securing the edge internet of things,” Sensors, vol. 21, no. 2, p. 359, 2021.
- K. M. R. Seetharaman, “Internet of Things (IoT) Applications in SAP: A Survey of Trends, Challenges, and Opportunities,” Int. J. Adv. Res. Sci. Commun. Technol., vol. 3, no. 2, 2021, doi: DOI: 10.48175/IJARSCT-6268B.
- Suhag Pandya, “Innovative blockchain solutions for enhanced security and verifiability of academic credentials,” Int. J. Sci. Res. Arch., vol. 6, no. 1, pp. 347–357, Jun. 2022, doi: 10.30574/ijsra.2022.6.1.0225.
- Y. Kareem, D. Djenouri, and E. Ghadafi, “A Survey on Emerging Blockchain Technology Platforms for Securing the Internet of Things,” Futur. Internet, vol. 16, no. 8, 2024, doi: 10.3390/fi16080285.
- Suhag Pandya, “Advanced Blockchain-Based Framework for Enhancing Security, Transparency, and Integrity in Decentralised Voting System,” Int. J. Adv. Res. Sci. Commun. Technol., vol. 2, no. 1, pp. 865–876, Aug. 2022, doi: 10.48175/IJARSCT-12467H.
- M. Kuperberg, “Blockchain-Based Identity Management: A Survey from the Enterprise and Ecosystem Perspective,” IEEE Trans. Eng. Manag., vol. 67, no. 4, pp. 1008–1027, 2020, doi: 10.1109/TEM.2019.2926471.
- S. Murri, S. Chinta, S. Jain, and T. Adimulam, “Advancing Cloud Data Architectures: A Deep Dive into Scalability, Security, and Intelligent Data Management for Next-Generation Applications,” Well Test. J., vol. 33, no. 2, pp. 619–644, 2024, [Online]. Available: https://welltestingjournal.com/index.php/WT/article/view/128
- S. S. S. Neeli, “Critical Cybersecurity Strategies for Database Protection against Cyber Attacks,” J. Artif. Intell. Mach. Learn. Data Sci., vol. 1, no. 1, p. 5, 2023.
- S. Pandya, “A Systematic Review of Blockchain Technology Use in Protecting and Maintaining Electronic Health Records,” Int. J. Res. Anal. Rev., vol. 8, no. 4, 2021.
- S. Murri, “Data Security Environments Challenges and Solutions in Big Data,” Int. J. Curr. Eng. Technol., vol. 12, no. 6, pp. 565–574, 2022.
- K. Gilani, E. Bertin, J. Hatin, and N. Crespi, “A Survey on Blockchain-based Identity Management and Decentralized Privacy for Personal Data,” in 2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020, 2020. doi: 10.1109/BRAINS49436.2020.9223312.
- M. Alizadeh, K. Andersson, and O. Schelen, “Comparative Analysis of Decentralized Identity Approaches,” IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3202553.
- G. Zhao, B. Di, and H. He, “A novel decentralized cross-domain identity authentication protocol based on blockchain,” Trans. Emerg. Telecommun. Technol., 2022, doi: 10.1002/ett.4377.
- R. K, S. G, S. Kumar, and S. T, “A Study of Cyber Security Challenges and its Emerging Trends on Latest Technologies,” Int. J. Innov. Res. Adv. Eng., 2023, doi: 10.26562/ijirae.2023.v1006.25.
- A. Goyal, “Integrating Blockchain for Vendor Coordination and Agile Scrum in Efficient Project Execution,” Int. J. Innov. Sci. Res. Technol., vol. 9, no. 12, 2024.
- Abhishek Goyal, “Driving Continuous Improvement in Engineering Projects with AI-Enhanced Agile Testing and Machine Learning,” Int. J. Adv. Res. Sci. Commun. Technol., vol. 3, no. 3, pp. 1320–1331, Jul. 2023, doi: 10.48175/IJARSCT-14000T.
- H. Alanzi and M. Alkhatib, “Towards Improving Privacy and Security of Identity Management Systems Using Blockchain Technology: A Systematic Review,” Appl. Sci., vol. 12, p. 12415, 2022, doi: 10.3390/app122312415.
- Q. Feng, D. He, S. Zeadally, M. K. Khan, and N. Kumar, “A survey on privacy protection in blockchain system,” J. Netw. Comput. Appl., vol. 126, pp. 45–58, 2019.
- E. Ben Sasson et al., “Zerocash: Decentralized anonymous payments from bitcoin,” in 2014 IEEE symposium on security and privacy, 2014, pp. 459–474.
- S. Yuan, W. Yang, X. Tian, and W. Tang, “A Blockchain-Based Privacy Preserving Intellectual Property Authentication Method,” Symmetry (Basel)., vol. 16, no. 5, 2024, doi: 10.3390/sym16050622.
- A. Biryukov and S. Tikhomirov, “Security and privacy of mobile wallet users in Bitcoin, Dash, Monero, and Zcash,” Pervasive Mob. Comput., vol. 59, p. 101030, 2019.
- I. Miers, C. Garman, M. Green, and A. D. Rubin, “Zerocoin: Anonymous distributed e-cash from bitcoin,” in 2013 IEEE symposium on security and privacy, 2013, pp. 397–411.
- S. Chatterjee, “Integrating Identity and Access Management for Critical Infrastructure : Ensuring Compliance and Security in Utility Systems,” Int. J. Innov. Res. Creat. Technol., vol. 8, no. 2, pp. 1–8, 2022.
- F. Mosaiyebzadeh et al., “Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey,” Electronics, vol. 12, no. 12, 2023, doi: 10.3390/electronics12122703.
- G. Dhiman et al., “Federated learning approach to protect healthcare data over big data scenario,” Sustainability, vol. 14, no. 5, p. 2500, 2022.
- V. S. Thokala, “Improving Data Security and Privacy in Web Applications : A Study of Serverless Architecture,” Int. Res. J., vol. 11, no. 12, pp. 74–82, 2024.
- A. Blanco-Justicia, J. Domingo-Ferrer, S. Mart\’\inez, D. Sánchez, A. Flanagan, and K. E. Tan, “Achieving security and privacy in federated learning systems: Survey, research challenges and future directions,” Eng. Appl. Artif. Intell., vol. 106, p. 104468, 2021.
- S. Arora and S. R. Thota, “Ethical Considerations and Privacy in AI-Driven Big Data Analytics,” Int. Res. J. Eng. Technol., vol. 11, no. 05, 2024.
- X. Xiao, G. Wang, and J. Gehrke, “Differential privacy via wavelet transforms,” IEEE Trans. Knowl. Data Eng., vol. 23, no. 8, pp. 1200–1214, 2010.
- Q. Li, Z. Wu, Z. Wen, and B. He, “Privacy-preserving gradient boosting decision trees,” in Proceedings of the AAAI Conference on Artificial Intelligence, 2020, pp. 784–791.
- S. Arora, S. R. Thota, and S. Gupta, “Data Mining and Processing in the Age of Big Data and Artificial Intelligence - Issues, Privacy, and Ethical Considerations,” in 2024 4th Asian Conference on Innovation in Technology (ASIANCON), IEEE, Aug. 2024, pp. 1–6. doi: 10.1109/ASIANCON62057.2024.10838087.
- S. Jordan, C. Fontaine, and R. Hendricks-Sturrup, “Selecting privacy-enhancing technologies for managing health data use,” Front. Public Heal., vol. 10, p. 814163, 2022.
- S. Lu et al., “CCIO: A Cross-Chain Interoperability Approach for Consortium Blockchains Based on Oracle,” Sensors, 2023, doi: 10.3390/s23041864.
- S. Biswas, K. Sharif, F. Li, A. K. Bairagi, Z. Latif, and S. P. Mohanty, “GlobeChain: An Interoperable Blockchain for Global Sharing of Healthcare Data - A COVID-19 Perspective,” IEEE Consum. Electron. Mag., 2021, doi: 10.1109/MCE.2021.3074688.
- E. Abebe et al., “Enabling Enterprise Blockchain Interoperability with Trusted Data Transfer (industry track),” in Middleware Industry 2019 - Proceedings of the 2019 20th International Middleware Conference Industrial Track, Part of Middleware 2019, 2019. doi: 10.1145/3366626.3368129.
- R. Neisse et al., “An Interledger Blockchain Platform for Cross-Border Management of Cybersecurity Information,” IEEE Internet Comput., 2020, doi: 10.1109/MIC.2020.3002423.
- S. Biswas et al., “Interoperability Benefits and Challenges in Smart City Services: Blockchain as a Solution,” Electronics, vol. 12, no. 4, 2023, doi: 10.3390/electronics12041036.
- M. Polychronaki, M. G. Xevgenis, D. G. Kogias, and H. C. Leligou, “Decentralized Identity Management for Metaverse-Enhanced Education: A Literature Review,” Electronics, vol. 13, no. 19, 2024, doi: 10.3390/electronics13193887.
- S. D. Kotey, E. T. Tchao, A. S. Agbemenu, A.-R. Ahmed, and E. Keelson, “A Framework for Full Decentralization in Blockchain Interoperability,” Sensors, vol. 24, no. 23, 2024, doi: 10.3390/s24237630.
- M. Hulea, R. Miron, and V. Muresan, “Digital Product Passport Implementation Based on Multi-Blockchain Approach with Decentralized Identifier Provider,” Appl. Sci., vol. 14, no. 11, 2024, doi: 10.3390/app14114874.
- X. Zhao, B. Zhong, and Z. Cui, “Design of a Decentralized Identifier-Based Authentication and Access Control Model for Smart Homes,” Electronics, vol. 12, no. 15, 2023, doi: 10.3390/electronics12153334.
- F. Sabrina, N. Li, and S. Sohail, “A Blockchain Based Secure IoT System Using Device Identity Management,” Sensors, vol. 22, no. 19, 2022, doi: 10.3390/s22197535.
- S. Venkatraman and S. Parvin, “Developing an IoT Identity Management System Using Blockchain,” Systems, vol. 10, no. 2, 2022, doi: 10.3390/systems10020039.
Blockchain technology, a decentralized and immutable ledger, has transformed identity and access management
(IAM) by enhancing security, privacy, and trust in digital ecosystems. Ensuring safe authentication and data integrity is
made possible by its integration with sophisticated cryptographic techniques like zero-knowledge proofs (ZKPs) and public-
key infrastructure (PKI). Other methods include verifiable credentials (VCs) and decentralized identifiers (DIDs). This
paper provides a comprehensive analysis of blockchain-based IAM systems, comparing leading blockchain platforms,
including Ethereum, Hyperledger Indy, IOTA, and IoTeX, in identity management. The role of blockchain in mitigating
identity-related threats, such as identity theft and unauthorized access, is explored through decentralization, immutability,
and smart contract automation. Additionally, key security enhancements, including cryptographic mechanisms that
strengthen decentralized identity solutions and privacy-preserving authentication, are examined. The potential of
blockchain to establish a self-sovereign identity framework that fosters trust, scalability, and security in digital identity
ecosystems is highlighted, paving the way for the next generation of identity management solutions.
Keywords :
Blockchain, Decentralized Identity (DID), Security, Privacy, Interoperability, Identity Management, Digital Identity, Smart Contracts.