Multimodal Cancelable Biometrics

Paul, Padma Polash; Gavrilova, Marina L.

doi:10.1109/icci-cc.2012.6311208

Cited by 43 publications

(24 citation statements)

References 17 publications

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“…Depending on whether the function used is invertible or non-invertible, these schemes can be categorized as salting (also referred to as BioHashing) [15], [16], [17], [18], [19] or nonivertible transformation, respectively. Schemes that keep the biometric template in the same space after application of a noninvertible transform have been referred to as cancelable templates schemes [20], [21], [22], [23].…”

Section: A Combining Biometrics and Cryptographic Techniquesmentioning

confidence: 99%

Biometrics-Based Secret Key Agreement by Public Discussion with RFID System

Rodrigues¹,

Masculo

Assis

et al. 2014

2014 International Conference on Cyberworlds

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Cryptographic keys based on biometrics, besides offering information security and privacy, have the advantage of being strongly linked to the user. Three main techniques use biometric data to obtain cryptographic keys: cryptographic key release, cryptographic key generation and cryptographic key regeneration. The main objectives of these schemes are to ensure revocability and produce keys with high entropy. In this work, we propose a new technique for secret key agreement based on biometrics. Three security factors are used, represented by an iris code, an RFID tag and a password. The use of the protocol for reconciliation between the RFID reader and tag enables the agreement of a symmetric key with high entropy by discarding all the mismatching bits present in genuine samples, while it fails to do so for impostors that are therefore rejected. A new secret key is agreed after every positive authentication, increasing the security of the system. The system was evaluated on the public database ICE2005 and obtained a 270 binary digit cryptographic key with estimated entropy of about 156 bits at 0% False Acceptance Rate (FAR) and 3.68% False Rejection Rate (FRR).

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Section: A Combining Biometrics and Cryptographic Techniquesmentioning

confidence: 99%

Biometrics-Based Secret Key Agreement by Public Discussion with RFID System

Rodrigues¹,

Masculo

Assis

et al. 2014

2014 International Conference on Cyberworlds

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“…Their proposed approach retains the advantages of both the transform-based approach and biometric cryptosystem approach. Recently (Paul & Gavrilova, 2012) presented a second order multimodal cancelable biometric system using random projection.…”

Section: B Second Order Cancelable Biometricsmentioning

confidence: 99%

“…It is evident from the number of publications that span both domains, and deal with issues of applying intelligent techniques to biometric processing, and with developing new cognition methods for biometric and security applications and research [9] [32]. Computational intelligence finds its many uses in biometric domain [33] [35].…”

Section: Introductionmentioning

confidence: 99%

Rank level fusion of multimodal cancelable biometrics

Paul

Gavrilova

2014

2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing

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Cancelable biometrics is newly emerged biometric technology that can provide the protection over different attacks to a biometric system. In this paper, we have presented a multilevel random projection on face and ear biometric traits. The multiple random projections are conducted using multiple random projection matrixes. From multiple random projections, we have generated multiple templates for biometric authentication. Therefore, proposed method can provide better template security and better feature quality. Multiple cancelable templates are used for recognition purpose and rank level fusion is applied to generate final decision from multiple ranks. As per our knowledge, we have applied rank level fusion on cancelable multimodal biometric system for the first time. A detailed validation and the performance analysis of the proposed algorithm on a virtual multimodal cancelable face and ear database are presented.

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“…The concept of cancelable biometric (cancelability) has emerged very recently [7][8][9] as a powerful tool for template protection [10][11][12]. Cancelable biometric system is a type of system that can protect the database from template level attack.…”

Section: Introductionmentioning

confidence: 99%

Social Network Analysis for Biometric Template Protection

Paul

Gavrilova

Alhajj

2015

Lecture Notes in Social Networks

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In this book chapter, novel cancelable biometric template generation algorithm using Social Network Analysis is presented. Two sets of features are fused using Social Network. Fusion technique is cancelable. Eigenvector centrality is used to generate final sets of features from the Virtual Social Network (VSN). From the features, Virtual Social Network generation and analysis is one of the important tasks. Main difficulty of this process is to find the validity of social network feature. Two sets of feature keep the relation among them for the classification. Finding the relation among the features could be done by using social network analysis. A new algorithm to generate VSN from the features is also presented in this chapter. Generated virtual network keeps the discriminability among the features. Once the features are different, the generated networks are different from the previous one. Social network based feature analysis confirms the domain transformation. It is computationally very hard to regenerate the original features from the social network matric value. This domain transformation confirms the cancelability in biometric template generation. To ensure the multi-level cancelability random projection is used to project social network based feature. Performance analysis for biometric domain data is also presented in this chapter.

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Multimodal Cancelable Biometrics

Cited by 43 publications

References 17 publications

Biometrics-Based Secret Key Agreement by Public Discussion with RFID System

Biometrics-Based Secret Key Agreement by Public Discussion with RFID System

Rank level fusion of multimodal cancelable biometrics

Social Network Analysis for Biometric Template Protection

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