Enhance fuzzy vault security using nonrandom chaff point generator

Nguyen, Minh Tan; Trương, Quang Hải; Dang, Tran Khanh

doi:10.1016/j.ipl.2015.08.012

Cited by 16 publications

(6 citation statements)

References 5 publications

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“…So it is not possible to compare the fuzzy vaults of the same design to determine the key used for building the fuzzy vault. In [7], the author of the article suggests a new way of solving the problems of the new fuzzy vault based on CRC. An updated generator and verifier of chaff points were added.…”

Section: Computer Sciencesmentioning

confidence: 99%

A fuzzy vault development based on iris images

Taha

Ahmed

2021

Eureka: PE

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Biometric systems gather information from the person's biometric attributes, used extensively to authorize the individuals. Due to the obvious convenience of using specific individual traits such as face, fingerprints, palm veins, and irises, biometric authentication is becoming more common. In particular, Iris systems are in high demand for high-assurance applications, because they contain a broad feature set and remain stable. Authentication methods based on iris biometrics are now commonly used in a variety of fields. This is due to the fact that iris biometric authentication is both safer and more comfortable than conventional passwords. Template Security is a major concern in biometric systems. The template security mechanism ensures reusable, permanent, and un-linkable models. The Fuzzy Vault strategy is one of the most popular security schemes for Template protection. Fuzzy vault has demonstrated to be an effective protection method but lacks revocability and security attacks. This article introduced an improved fuzzy vault system. The improved fuzzy vault system was introduced, which uses more than one key to protect biometric data. Different keys make the search space more detailed. The additional key was used to encrypt vault data, which stopped the intruder from accessing the information on the person's biometry. The system was tested using CASIA.v1 and IITD.v1 datasets, and findings showed that the system ensures the protection and authentication of the iris templates without compromising performance. The proposed modification gave a 0.0 % False Accepted Rate (FAR) for both the dataset and False Rejected Rate (FRR), 0.14 % for CASIA v1 and 0.12 % for ITTD v1 False Rejected rate

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Section: Computer Sciencesmentioning

confidence: 99%

A fuzzy vault development based on iris images

Taha

Ahmed

2021

Eureka: PE

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“…The results show that the system takes less time to authenticate the user as compared to Nandakumar et al [12] with an acceptable level of security. Nguyen et al [19] proposed a nonrandom chaff point generator in which chaff points are generated using continuous hashing and linear projection. Chaff points are considered as signature for the combination of biometric template and key.…”

Section: Related Workmentioning

confidence: 99%

Real-time chaff generation for a biometric fuzzy vault

Kaur¹,

Sofat²

2018

Turk J Elec Eng & Comp Sci

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Biometric technology is rapidly being adopted in wide variety of security applications. However, the system itself is not completely foolproof and is vulnerable to many attacks. Some of the attacks on the biometric system are very severe, one of which is the attack on template security. In spite of the various template security techniques presented in the literature, none of them is able to provide security, diversity, revocability, and good performance simultaneously to the biometric system. Fuzzy vault is one of the most promising bio-cryptographic techniques to prevent the template data from being misused. To make the fuzzy vault practically realizable in real-life applications especially for large databases, the chaff generation time needs to be reduced to a greater extent. This work focuses on decreasing the chaff generation time to reduce the overall vault creation time. The approach presented in the paper has also been tested on real-time dedicated hardware using fingerprint data acquired in real time by using a fingerprint sensor Verifier 300LC to bridge the gap between the research and real-time application scenarios.

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“…Nguyen et al [24] proposed a modified chaff point generator in which chaff points are generated using continuous hashing and linear projection. Blend substitution attack can be prevented by detecting any modification done to the original vault as chaff points are considered as signatures for the combination of the biometric template and secure key.…”

Section: Related Workmentioning

confidence: 99%

Neoteric chaff generation method of fingerprint fuzzy vault

Singla¹,

Sofat²,

Kaur³

2017

Turk J Elec Eng & Comp Sci

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Authentication using biometrics has an edge over traditional authentication mechanisms. Fuzzy vault is an eminent biometric cryptosystem technique that aims to protect a secret using a biometric template. Authorized users can, however, access the secret by providing the valid biometric. In a fuzzy vault, noise is incorporated in the form of chaff points in order to increase the security. While implementing fuzzy vault schemes in real scenarios, the most critical but computing-intensive and time-consuming task is chaff generation. In this paper, a neoteric method for chaff generation is proposed, which is less time-consuming in generating large numbers of chaff points.

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Enhance fuzzy vault security using nonrandom chaff point generator

Cited by 16 publications

References 5 publications

A fuzzy vault development based on iris images

A fuzzy vault development based on iris images

Real-time chaff generation for a biometric fuzzy vault

Neoteric chaff generation method of fingerprint fuzzy vault

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