Citation:
Gowtham Reddy Enjam, Sandeep Channapura Chandragowda, "Decentralized Insured Identity Verification in Cloud Platform using Blockchain-Backed Digital IDs and Biometric Fusion" International Journal of Multidisciplinary on Science and Management, Vol. 1, No. 2, pp. 75-86, 2024.
Abstract:
Identity authentication within cloud environments is still one of the most urgent matters of cybersecurity because the number of remote services, cross-border trade, and even privacy regulation increases exponentially. Current-day centralized identity management systems tend to be vulnerable to a point of failure, have the potential to fall victim to widespread attacks, and provide little user control over personal information. New technologies in Decentralized Identity (DID) based on blockchain technology built on biometric fusion provide a promising potential method of delivering more secure, privacy-preserving, and verifiable identity solutions. In this paper, we introduce a new Decentralized Insured Identity Verification (DIIV) system, which couples blockchain-based digital identity verification certificates to biometric fusion through multiple modalities for high-assurance identity verification in cloud-based environments. The proposed system utilises a permissioned blockchain (Hyperledger Fabric) to offer transaction scalability and robustness, as well as biometric fusion of fingerprint scanning and facial recognition to provide robust authentication. Additionally, it employs a Zero-Knowledge Proof (ZKP) strategy that ensures privacy while providing verifiable assertions. Additionally, we propose an identity guarantee mechanism backed by insurance, whereby validated identities are insured against impersonation-based fraud a form of insurance that adds a monetary guarantee to online trust. We present a four-sided solution to these challenges: (1) empowering individual control over personal identity attributes, (2) removing operator dependencies, (3) further increasing authenticity assurance through combining biometrics with all the attributes, and (4) adding an auditable verification covering layer with an insurance aspect. The given solution has been field-tested against the following performance indicators: latency, throughput, biometric matching accuracy, and blockchain consensus efficiency. The findings indicate that: Our DIIV system yielded a Biometric Matching Accuracy of 99.4%, a 92 percent decrease in the likelihood of fraud over traditional centralized systems, and <1.5 seconds (average) verification latency when simulated under heavy-load cloud computing scenarios. We also conduct comparative security analysis to resist Man-In-The-Middle (MITM), replay, and biometric spoofing attacks. This paper presents a holistic architecture design, intelligent contractor design for insured identity titles, and an efficiency test of the given scheme using both simulated and real biometric records. Combining the permanent state of auditability that blockchain activity offers with the flexible accuracy of multimodal biometrics and the coverage of finances by insurance, DIIV will form the basis of a new generation of digital identity verification paradigms, within which the security, scale, and privacy requirements of the contemporary cloud-based ecosystem can be addressed.
Keywords: Blockchain, Decentralized Identity, Cloud Security, Biometric Fusion, Digital ID, Zero-Knowledge Proof, Hyperledger, Identity Insurance.
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