Multi-instance iris remote authentication using private multi-class perceptron on malicious cloud server

In recent years, biometric authentication system ( BAS ) has become the most promising and popular authentication system in identity management. Due to its capability to solve the limitations of unimodal systems, multi-biometric systems ( MBS ) have been extensively accepted in various fields. The m...

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Bibliographic Details
Published in:Applied intelligence (Dordrecht, Netherlands) Vol. 50; no. 9; pp. 2848 - 2866
Main Authors: Morampudi, Mahesh Kumar, Veldandi, Sowmya, Prasad, Munaga V. N. K., Raju, U. S. N.
Format: Journal Article
Language:English
Published: New York Springer US 01.09.2020
Springer Nature B.V
Subjects:
Algorithms
Artificial Intelligence
Authentication
Biometrics
Computer Science
Confidentiality
Correlation analysis
Data integration
Encryption
Machines
Manufacturing
Mechanical Engineering
Polynomials
Privacy
Processes
Fully homomorphic encryption
Contradistinguish similarity analysis
Correlation analysis
Private multi-class perceptron
Multi-biometric systems
ISSN:0924-669X, 1573-7497
Online Access:Get full text
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Summary:In recent years, biometric authentication system ( BAS ) has become the most promising and popular authentication system in identity management. Due to its capability to solve the limitations of unimodal systems, multi-biometric systems ( MBS ) have been extensively accepted in various fields. The main step in MBS is information fusion. On the other hand, directly storing the fused templates into a centralized server leads to privacy concerns. Recently, many BAS based on homomorphic encryption has been introduced to provide confidentiality for the fused templates. However, most of the existing solutions rely on an implication of the assumption that the server is “Honest-but-Curious”. As a result, the compromise of such server results into entire system vulnerability. To address this, we propose a novel P rivacy P reserving ( PP ) multi-instance iris remote authentication system to accord with attacks at the malicious server and over the transmission channel. Our scheme uses F ully H omomorphic E ncryption ( FHE ) to achieve the confidentiality of the fused iris templates and polynomial factorization algorithm to achieve the integrity of the matching result. We propose a PP iris authentication system using P rivate M ulti- C lass P erceptron ( PMCP ) by using the properties of FHE . Moreover, we propose C ontradistinguish S imilarity A nalysis ( CSA ), a feature level fusion technique that minimizes the between-class correlations and maximizes the pair-wise correlations. Our method has experimented on IITD and CASIA-V3-Interval iris databases to check the effectiveness and robustness. Experimental results show that our method provides improved accuracy, and eliminates the need to trust the cloud server when compared to the state-of-the-art approaches.
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ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-020-01681-9