SEMBA: secure multi‐biometric authentication

Barni, Mauro; Droandi, Giulia; Lazzeretti, Riccardo; Pignata, Tommaso

doi:10.1049/iet-bmt.2018.5138

Cited by 24 publications

(17 citation statements)

References 54 publications

(101 reference statements)

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“…Such systems are used to complement the weaknesses of a single biometric and they usually try to make the best of different biometric traits in order to perform recognition of an individual (Yang et al, 2018b). An additional advantage of using multi-modal biometric systems is that they are more secure as compared to the uni-biometric systems as more than one trait is used at the time of registration of a user in a system (Yang et al, 2018b;Barni et al, 2019;Gomez-Barrero et al, 2017). Appropriately, stealing or forging one biometric trait does not guarantee an access to the system, thus leading to an improved security feature for authentication in biometric systems.…”

Section: Multi-modal Systemsmentioning

confidence: 99%

Hand-based multibiometric systems: state-of-the-art and future challenges

Aftab

Khan

et al. 2021

PeerJ Computer Science

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The traditional methods used for the identification of individuals such as personal identification numbers (PINs), identification tags, etc., are vulnerable as they are easily compromised by the hackers. In this paper, we aim to focus on the existing multibiometric systems that use hand based modalities for the identification of individuals. We cover the existing multibiometric systems in the context of various feature extraction schemes, along with an analysis of their performance using one of the performance measures used for biometric systems. Later, we cover the literature on template protection including various cancelable biometrics and biometric cryptosystems and provide a brief comment about the methods used for multibiometric template protection. Finally, we discuss various open issues and challenges faced by researchers and propose some future directions that can enhance the security of multibiometric templates.

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Section: Multi-modal Systemsmentioning

confidence: 99%

Hand-based multibiometric systems: state-of-the-art and future challenges

Aftab

Khan

et al. 2021

PeerJ Computer Science

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“…A privacy-preserving user-centric BAS (PassBio) is proposed using TPE. Barni et al [33] designed a secure multimodal biometric authentication that combines iris and face templates. Guo et al [34] used randomness techniques instead of HE to provide the privacy of the face templates result in a good performance.…”

Section: Homomorphic Encryption Applied To Biometric Authenticationmentioning

confidence: 99%

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

2021

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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.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…The performance of the method is comparatively better than the state-of-the approaches. Droandi et al [43] proposed a secure multimodal biometric protocol which combines iris and face templates relying on secure multiparty computation protocols.…”

Section: He Applied To Irismentioning

confidence: 99%

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

2020

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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.

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SEMBA: secure multi‐biometric authentication

Cited by 24 publications

References 54 publications

Hand-based multibiometric systems: state-of-the-art and future challenges

Hand-based multibiometric systems: state-of-the-art and future challenges

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

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

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