Cryptographic key generation from voice

Monrose, Fabian; Reiter, Michael K.; Li, Qi; Wetzel, Susanne

doi:10.1109/secpri.2001.924299

Cited by 238 publications

(151 citation statements)

References 14 publications

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“…Biometrics Other work in applying biometrics to cryptography has focused on the derivation of a secret from a biometric [12,11,10,6,9,7,4]. This secret can be then used for operations such as symmetric encryption or UNIX style password authentication.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Identity-Based Encryption

Sahai

Waters

2005

Lecture Notes in Computer Science

3,160

1,969

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We introduce a new type of Identity-Based Encryption (IBE) scheme that we call Fuzzy Identity-Based Encryption. In Fuzzy IBE we view an identity as set of descriptive attributes. A Fuzzy IBE scheme allows for a private key for an identity, ω, to decrypt a ciphertext encrypted with an identity, ω , if and only if the identities ω and ω are close to each other as measured by the "set overlap" distance metric. A Fuzzy IBE scheme can be applied to enable encryption using biometric inputs as identities; the error-tolerance property of a Fuzzy IBE scheme is precisely what allows for the use of biometric identities, which inherently will have some noise each time they are sampled. Additionally, we show that Fuzzy-IBE can be used for a type of application that we term "attribute-based encryption".In this paper we present two constructions of Fuzzy IBE schemes. Our constructions can be viewed as an Identity-Based Encryption of a message under several attributes that compose a (fuzzy) identity. Our IBE schemes are both error-tolerant and secure against collusion attacks. Additionally, our basic construction does not use random oracles. We prove the security of our schemes under the Selective-ID security model.

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Section: Related Workmentioning

confidence: 99%

Fuzzy Identity-Based Encryption

Sahai

Waters

2005

Lecture Notes in Computer Science

3,160

1,969

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“…In (Monrose et al, 2002;Monrose et al, 2001), a new approach is proposed, focusing on using keystroke features and voice characteristics to harden the passwords themselves. The work improves on previous schemes in that it is the first to offer better security against a stronger attacker.…”

Section: Related Workmentioning

confidence: 99%

“…In this context, a solution based on error-correcting codes and randomness extraction was developed (Juels and Wattenberg, 1999;Juels and Sudan, 2002;Dodis et al, 2004;Boyen, 2004). An alternative line of work based on secret sharing techniques was proposed in (Monrose et al, 2002;Monrose et al, 2001). While the former provides an information-theoretical optimal solution for error-tolerance, it at the same time requires a uniform level of error-tolerance for all users alike and as such poses significant challenges for use in practice.…”

Section: Introductionmentioning

confidence: 99%

Secret Locking: Exploring New Approaches to Biometric Key Encapsulation

Kamara

Medeiros

Wetzel

2007

Communications in Computer and Information Science

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Abstract:Biometrics play an increasingly important role in the context of access control techniques as they promise to overcome the problems of forgotten passwords or passwords that can be guessed easily.In this paper we introduce and provide a formal definition of the notion of secret locking which generalizes a previously introduced concept for cryptographic key extraction from biometrics. We give details on an optimized implementation of the scheme which show that its performance allows the system for use in practice. In addition, we introduce an extended framework to analyze the security of the scheme.

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“…Further, it is classified into two: Key-Binding biometric cryptosystem and Keygeneration biometric crypto system [9], [10], [11], [12], [14], [17], [23], [27].…”

mentioning

confidence: 99%

Novel Shift-Phase Transformation based Cancelable and Irrevocable Biometric Template Generation for Fingerprints

Kanagalakshmi¹,

Chandra²

2014

IJCA

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Cancelable biometrics expresses multiplicity. Now-a-days conventional authentications and identifications are advanced with biometrics. Since biometrics is unique in nature of a person, he/she must be aware on tracking the original features and also the cross matching of the same when his/her biometrics is used in different applications; and once the biometrics is compromised, those cannot be reset again. These problems are addressed by our proposed novel approach called "Shift-Phase Transformation". It is designed for irrevocable and cancellable biometric template generation. In this paper, the proposed method is used to generate a cancelable and irrevocable biometric template for fingerprint. Series of experiments are followed to test the performance of the proposed method. The factors considered for performance evaluation are the cross matching rate through ROC (using GAR and FAR), Cancelability, Irrevocability, Security, Average time of template generation and matching and also space complexity. The experimental results show the efficiency of proposed method and also show that it is a best method.

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Cryptographic key generation from voice

Cited by 238 publications

References 14 publications

Fuzzy Identity-Based Encryption

Fuzzy Identity-Based Encryption

Secret Locking: Exploring New Approaches to Biometric Key Encapsulation

Novel Shift-Phase Transformation based Cancelable and Irrevocable Biometric Template Generation for Fingerprints

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