Oct 2026· Discover Computing· Vol 29· 0 citations· 30 references
TL;DR
The reviewed literature indicates that blockchain-based authentication approaches can enhance personal security and reduce verification delay, and may lower fraud susceptibility in financial, healthcare, and relief-program applications, based on the findings reported in the cited studies.
Abstract
In the digital era, identity verification plays a critical role in ensuring security and privacy in online transactions. Current identity management platforms build their data storage around centralized models which creates conditions for high risks of both breaches and identity fraud together with operational shortcomings. This review examines blockchain digital identity solutions by studying Decentralized Identity (DID) along with Zero-Knowledge Proofs (ZKP) and Delegated Proof of Stake (DPoS) and smart contracts. The combination of these technologies allows decentralization and cryptographic security with automation while resolving current traditional system limitations. A narrative review, informed by a PRISMA-based literature selection process, evaluated 31 documents from IEEE, ACM, Springer, and Elsevier. The reviewed literature indicates that blockchain-based authentication approaches can enhance personal security and reduce verification delay, and may lower fraud susceptibility in financial, healthcare, and relief-program applications, based on the findings reported in the cited studies. Future research should focus on AI-driven identity verification, interoperability among DID frameworks, and regulatory policies for global adoption.
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Waleed A. Alrodhan· International Journal of Inf...· 0 citations
The rapid expansion of digital services, cloud computing, IoT, and interconnected platforms has increased the need for secure and privacy-preserving Identity and Access Management (IAM). Traditional centralized and federated IAM systems face challenges including single points of failure, privacy risks, limited user con...
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This paper investigates recent advances in the integration of HE with blockchain privacy protection, with particular emphasis on representative schemes employing fully homomorphic encryption (FHE) and partially homomorphic encryption (PHE) in scenarios including privacy-preserving smart contracts, federated learning, a...
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Comparative analysis indicates that the proposed model can reduce centralized attack surfaces, strengthen traceability, support selective disclosure, and improve cross-agency interoperability, whereas the study contributes an integrated socio-technical framework and a staged adoption roadmap for public institutions.
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