2017
DOI: 10.1049/cje.2017.01.009
|View full text |Cite
|
Sign up to set email alerts
|

A Cancelable Fuzzy Vault Algorithm Based on Transformed Fingerprint Features

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(3 citation statements)
references
References 14 publications
0
3
0
Order By: Relevance
“…Recent defense mechanisms against cross-match attacks targeting the biometric cryptosystems include the works of You et al [136]. The authors proposed a classical fuzzy vault approach to overcome the limitation of an adversary that acquires biometric template information through cross-matching by obtaining multiple vaults derived from the same biometric template.…”
Section: Defense Mechanisms Based On Biometric Cryptosystemsmentioning
confidence: 99%
“…Recent defense mechanisms against cross-match attacks targeting the biometric cryptosystems include the works of You et al [136]. The authors proposed a classical fuzzy vault approach to overcome the limitation of an adversary that acquires biometric template information through cross-matching by obtaining multiple vaults derived from the same biometric template.…”
Section: Defense Mechanisms Based On Biometric Cryptosystemsmentioning
confidence: 99%
“…The concept of digital fingerprinting was first proposed by L. You [22] , which was a method of protecting copyright in multimedia electronic data. Generally, a substring is selected from the document and mapped to an integral eigenvalue through a hash function.…”
Section: Digital Fingerprinting Technologymentioning
confidence: 99%
“…characteristics with inherent human body. And it has drawn extensive attention during the past decades for its huge potentials in many applications [1,2] . However, a variety of problems for unimodal biometrics system has to be contended, such as background noise and stable stability.…”
Section: Introductionmentioning
confidence: 99%