Chaff point generation mechanism for improving fuzzy vault security

A combination of cryptographic and biometric systems, by performing specific binding technique on cryptographic key and biometric template, the fuzzy vault framework enhances the security level of current biometric cryptographic systems in terms of hiding secret key and protecting the template. Alth...

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Vydáno v:IET biometrics Ročník 5; číslo 2; s. 147 - 153
Hlavní autoři: Dang, Tran Khanh, Nguyen, Minh Tan, Truong, Quang Hai
Médium: Journal Article
Jazyk:angličtina
Vydáno: Stevenage The Institution of Engineering and Technology 01.06.2016
John Wiley & Sons, Inc
Témata:
Algorithms
binding technique
biometric template system
Biometrics
biometrics (access control)
Blends
Chaff
chaff point generation mechanism
Collusion
CRC
cryptographic key system
Cryptography
cyclic redundancy check codes
cyclic redundant code
data protection
Error correction
Fuzzy
fuzzy set theory
Fuzzy systems
fuzzy vault security
Modules
polynomial identification
Polynomials
private key cryptography
secret key hiding
Security
Statistical analysis
Substitutes
template protection
Vaults
Sudan
template protection
fuzzy vault security
polynomials
cyclic redundant code
fuzzy set theory
secret key hiding
biometrics (access control)
cryptographic key system
chaff point generation mechanism
biometric template system
polynomial identification
CRC
binding technique
private key cryptography
cyclic redundancy check codes
data protection
ISSN:2047-4938, 2047-4946, 2047-4946
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Shrnutí:A combination of cryptographic and biometric systems, by performing specific binding technique on cryptographic key and biometric template, the fuzzy vault framework enhances the security level of current biometric cryptographic systems in terms of hiding secret key and protecting the template. Although the original scheme suggests the use of error-correction techniques (e.g. the Reed–Solomon code) to reconstruct the original polynomial, recent implementations do not share the same point of view. Instead, cyclic redundant code (CRC) is applied to identify the genuine polynomial from a set of candidates due to its simplicity. Within the scope of this study, the authors address a significant flaw of current CRC-based fuzzy vault schemes, which allows the potential of successful blend substitution attack. To overcome this problem, an integration of two novel modules into general fuzzy vault scheme, namely chaff point generator and verifier, is proposed. The new modules are designed to be integrated easily into the existing systems as well as simple to enhance. The proposed scheme can detect any modification in vault and, as a result, eliminate the blend substitution attack to improve general security. Moreover, the experimental results of this study with real-world datasets show an increase in genuine acceptance rates.
Bibliografie:ObjectType-Article-1
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ISSN:2047-4938
2047-4946
2047-4946
DOI:10.1049/iet-bmt.2015.0023