Pseudo-Biometric Identity Framework: Achieving Self-Sovereignity for Biometrics on Blockchain

Mishra, Prince; Modanwal, Vishwas; Kaur, Harkeerat; Varshney, Gaurav

doi:10.1109/smc52423.2021.9659136

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…According to [70], a blockchain-based architecture for biometric authentication is proposed. Biometric data is decentralised and handled through DID and DID documents rather than being stored in a centralised database.…”

Section: Figurementioning

confidence: 99%

A survey on blockchain deployment for biometric systems

Sharma,

Dwivedi

2024

IET Blockchain

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Blockchain technology has become an emerging area in recent years due to its capacity to improve the security, dependability, and resilience of distributed systems. Research based on this technique has impacted several firms, including banking, healthcare, data processing, remote sensing, and many others. The key characteristics of blockchain technology that make it appealing are data immutability, transparency, privacy, decentralization, and distributed ledgers. However, there is a chance of a privacy breach with sensitive biometric data. The purpose of this investigation is to examine blockchain‐based biometric applications research. It begins by determining the myriad ways that biometrics and blockchain may work together, including the storage and protection of biometric templates, identity management, and biometric authentication systems. Different biometric applications with respect to blockchain technology are also identified, along with the types of biometric data taken into account, features and capabilities of blockchain technology exploited, and blockchain technology frameworks employed. Finally, the authors seek to investigate blockchain concepts in the biometric domain by evaluating their pros and cons and summarizing the methods developed on blockchain for diverse biometric applications. Additionally, the applications of blockchain‐based biometric systems are highlighted before moving on to open research questions and potential future research areas.

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Section: Figurementioning

confidence: 99%

A survey on blockchain deployment for biometric systems

Sharma,

Dwivedi

2024

IET Blockchain

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“…Allowing users of SSI solutions to access web applications via the OpenID Connect protocol resulted in the implementation of identity derivation mechanisms, that is, methods for deriving SSI identities from non-SSI identities. This is the primary goal of [ 97 , 98 ], but it was also accomplished in [ 95 , 96 ].…”

Section: Rq-1: What Practical Problems Have Been Introduced and Solved?mentioning

confidence: 99%

“…A person’s self-image, i.e., a selfie, is passed through one-way functions to mask the original data, and the resulting data are then stored on a blockchain and managed as a credential. Mishra et al [ 96 ] claimed that the underlying techniques used in [ 95 ], namely bloom filters [ 161 ], are vulnerable to invertibility and linkability attacks [ 162 ]. To address these issues, their proposal uses OpenCV [ 163 ] to extract feature vectors from selfies, which are then subjected to a one-way transformation [ 164 ].…”

Section: Rq-1: What Practical Problems Have Been Introduced and Solved?mentioning

confidence: 99%

Self-Sovereign Identity: A Systematic Review, Mapping and Taxonomy

Schardong

Custódio

2022

Sensors

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Self-Sovereign Identity (SSI) is an identity model centered on the user. The user maintains and controls their data in this model. When a service provider requests data from the user, the user sends it directly to the service provider, bypassing third-party intermediaries. Thus, SSI reduces identity providers’ involvement in the identification, authentication, and authorization, thereby increasing user privacy. Additionally, users can share portions of their personal information with service providers, significantly improving user privacy. This identity model has drawn the attention of researchers and organizations worldwide, resulting in an increase in both scientific and non-scientific literature on the subject. This study conducts a comprehensive and rigorous systematic review of the literature and a systematic mapping of theoretical and practical advances in SSI. We identified and analyzed evidence from reviewed materials to address four research questions, resulting in a novel SSI taxonomy used to categorize and review publications. Additionally, open challenges are discussed along with recommendations for future work.

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