Fuzzy vault template protection for multimodal biometric system

Kaur, Manvjeet; Sofat, Sanjeev

doi:10.1109/ccaa.2017.8229966

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…Feature-level fusion is the most stable of the different fusion techniques. The feature set derived from multiple biometric features and used for multimodal device design could be inconsistent 17 .…”

Section: Related Workmentioning

confidence: 99%

Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm

Rajasekar¹,

Predić

Saračević

et al. 2022

Sci Rep

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Biometric security is a major emerging concern in the field of data security. In recent years, research initiatives in the field of biometrics have grown at an exponential rate. The multimodal biometric technique with enhanced accuracy and recognition rate for smart cities is still a challenging issue. This paper proposes an enhanced multimodal biometric technique for a smart city that is based on score-level fusion. Specifically, the proposed approach provides a solution to the existing challenges by providing a multimodal fusion technique with an optimized fuzzy genetic algorithm providing enhanced performance. Experiments with different biometric environments reveal significant improvements over existing strategies. The result analysis shows that the proposed approach provides better performance in terms of the false acceptance rate, false rejection rate, equal error rate, precision, recall, and accuracy. The proposed scheme provides a higher accuracy rate of 99.88% and a lower equal error rate of 0.18%. The vital part of this approach is the inclusion of a fuzzy strategy with soft computing techniques known as an optimized fuzzy genetic algorithm.

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Section: Related Workmentioning

confidence: 99%

Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm

Rajasekar¹,

Predić

Saračević

et al. 2022

Sci Rep

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“…Kaur and Sofat [35] fuzzy vault work incorporates a fuzzy vault multimodal biometric template approach. The fuzzy vault is a combination of extracted minutia points fingerprint and face using crossing number and principle component analysis, where the fused is the input vault, for encoding, and Lagrange interpolation to recover the vault key, for decoding.…”

Section: B Biometric Security and Privacy Workmentioning

confidence: 99%

“…Lai et al [16] YES NO YES NO Lai et al [17] YES NO YES NO Nagar et al [15] YES NO YES NO Nassir and Perumal [14] YES YES NO NO Rathgeb et al [20] YES NO YES NO Kumar and Kumar [12] YES NO YES NO Li et al [13] YES NO YES NO Kaur and Sofat [35] YES NO NO NO Zhou and Ren [11] YES NO YES NO Toli and Preneel [10] YES YES NO NO Kaur and Khanna [18] YES NO YES NO Our proposed scheme YES YES YES YES complete the purpose task. Also, it allows us to use the IDN algorithm created, ensuring the anonymity of the records.…”

Section: Interoperabilitymentioning

confidence: 99%

Improving Data Security, Privacy, and Interoperability for the IEEE Biometric Open Protocol Standard

Filho

Sousa

et al. 2022

IEEE Access

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“…The vault can be "opened" (and the sensitive message recovered) by using an unlocking set B, where B has a large overlap with A. Biometric-based fuzzy vault uses a user's biometric features for the locking and unlocking sets. Fuzzy vaults have been implemented using fingerprint, iris, and face data [6,21,17,15,14], and for higher security, using multimodal biometric systems [13]. Fuzzy vaults have been used for biometric-based protection of cryptographic keys in smart cards [6] and online authentication systems [24].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Vault for Behavioral Authentication System

Islam

2020

IFIP Advances in Information and Communication Technology

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A fuzzy vault encrypts a message using fuzzy data such as user's biometric data as the vault key. Fuzzy vault can be used to protect users' cryptographic keys in smart cards and inside applications. We consider fuzzy vault based on behavioral data. A behavioral profile of a user consists of a set of features that collectively authenticates the user. Compared to biometric vault behavioral vault has the advantages of being revocable and less privacy sensitive. Fuzzy vaults for behavioral data, however, introduces significant challenges including feature representation, and feature matching algorithms that can provide the required correctness, security, and efficiency. We design and analyze a fuzzy vault based on the user's behavioral data that employs a novel soft-decision decoding algorithm and implement our design for two behavioral authentication (BA) systems. Our approach is general and can be used for other BA systems. We discuss our results and directions for future research.

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Fuzzy vault template protection for multimodal biometric system

Cited by 8 publications

References 13 publications

Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm

Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm

Improving Data Security, Privacy, and Interoperability for the IEEE Biometric Open Protocol Standard

Fuzzy Vault for Behavioral Authentication System

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