NDLI: BMIAE: blockchain-based multi-instance Iris authentication using additive ElGamal homomorphic encryption

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BMIAE: blockchain-based multi-instance Iris authentication using additive ElGamal homomorphic encryption

Content Provider	IET Digital Library
Author	Kumar, Morampudi Mahesh Prasad, Munaga V. N. K. Raju, U. S. N.
Abstract	Multi-biometric systems have been widely accepted in various applications due to its capability to solve the limitations of unimodal systems. Directly storing the biometric templates into a centralised server leads to privacy concerns. In the past few years, many biometric authentication systems based on homomorphic encryption have been introduced to provide security for the templates. Most of the existing solutions rely on an implication of the assumption that the server is ‘honest-but-curious’. Therefore, the compromise of server results into the entire system vulnerability and fails to provide the integrity. To address this, we propose a novel multi-instance iris authentication system, BMIAE to deal with malicious attacks over the transmission channel and at the untrusted server. BMIAE encrypt the iris templates using ElGamal encryption to guarantee confidentiality and Smart contract running on a Blockchain helps to achieve the integrity of templates and matching result. BMIAE also addresses the limitations of using Blockchain for biometrics like privacy and expensive storage. To check the effectiveness and robustness, BMIAE has experimented on CASIA-V3-Interval, IITD and SDUMLA-HMT iris databases. Experimental results show that BMIAE provides improved accuracy, and eliminates the need to trust the centralised server when compared to the state-of-the-art approaches.
Starting Page	165
Ending Page	177
Page Count	13
ISSN	20474938
Volume Number	9
e-ISSN	20474946
Issue Number	Issue 4, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/9/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2019.0169
Journal	IET Biometrics
Publisher Date	2020-04-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Additive ElGamal Homomorphic Encryption Authorisation Biometric Authentication System Biometric Templates Biomimetics Blockchain-based Multiinstance Iris Authentication BMIAE CASIA-V3-Interval Centralised Server Computer Vision And Image Processing Technique Cryptography Data Privacy Data Security Expensive Storage Feature Extraction IITD Iris Database Image Matching Image Recognition Iris Recognition Iris TemPlate Multibiometric System Novel Multiinstance Iris Authentication System Privacy Concerns SDUMLA-HMT Iris Database Smart Contract System Vulnerability Transmission Channel Unimodal System Untrusted Server
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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BMIAE: blockchain-based multi-instance Iris authentication using additive ElGamal homomorphic encryption