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IET Biometrics
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IET Biometrics
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IET Biometrics
Article . 2022
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https://dx.doi.org/10.60692/bg...
Other literature type . 2021
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Other literature type . 2021
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SviaB: Secure and verifiable multi‐instance iris remote authentication using blockchain

SviaB: مصادقة القزحية عن بعد متعددة الحالات آمنة ويمكن التحقق منها باستخدام البلوك تشين
Authors: Mahesh Kumar Morampudi; Munaga V. N. K. Prasad; Surya Narayana Raju Undi;

SviaB: Secure and verifiable multi‐instance iris remote authentication using blockchain

Abstract

Abstract Homomorphic encryption (HE) is the most widely explored research area in the construction of privacy‐preserving biometric authentication systems because of its advantages over cancellable biometrics and biometric cryptosystems. However, most of the existing privacy‐preserving biometric authentication systems using HE assume that the server performs computations honestly. In a malicious server setting, the server may return an arbitrary result to save computational resources, resulting in a false accept/reject. To address this, secure and verifiable multi‐instance iris authentication using blockchain (SviaB) is proposed. Paillier HE provides confidentiality for the iris templates in SviaB. The blockchain offers the integrity of the encrypted reference iris templates as well as the trust of the comparator result. The challenges of using blockchain in biometrics are also addressed in SviaB. Extensive experimental results on benchmark iris databases demonstrate that SviaB provides privacy to the iris templates with no loss of accuracy and trust in the comparator result.

Keywords

FOS: Computer and information sciences, User Authentication Methods and Security Measures, Paillier cryptosystem, Encryption, Set (abstract data type), Robust Hashing, Blockchain, Computer security, Cryptosystem, Digital Image Watermarking Techniques, Iris Recognition, Biometric Recognition and Security Systems, QA75.5-76.95, Plaintext, Hybrid cryptosystem, Computer science, Homomorphic encryption, Multimodal Biometrics, Programming language, Image Authentication, Biometrics, Authentication (law), Electronic computers. Computer science, Signal Processing, Computer Science, Physical Sciences, Verifiable secret sharing, Cryptography, Iris recognition, Computer Vision and Pattern Recognition, Information Systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
gold