Paper Info
Title
Genetic & Evolutionary Biometric Security: Disposable Feature Extractors for Mitigating Biometric Replay Attacks.
Abstract
Biometric-based access control systems (BACSs) are vulnerable to replay attacks. Replay attacks occur when a biometric template is intercepted and maliciously used to gain unauthorized access to a system. In this paper, we introduce a Genetic and Evolutionary Biometric Security (GEBS) application which uses a Genetic and Evolutionary Computation to develop disposable Feature Extractors (FEs) in an effort to mitigate replay attacks. We describe how a previously developed system known as GEFE (Genetic and Evolutionary Feature Extraction) can be used to evolve unique and disposable FEs for users of BACS. Furthermore, we propose two access control protocols based on the use of disposable FEs and/or their resulting templates (also referred to as feature vectors (FVs)). In our proposed protocols, FEs/FVs are used to authenticate the identity of individuals and are then discarded. Our results show that this GEBS application can be successfully used to mitigate biometric replay attacks.
Year
DOI
Venue
2012
10.1016/j.procs.2012.01.072
Procedia Computer Science
Keywords
Field
DocType
Biometric Security,Feature Extraction,Facial Recognition,Genetic and Evolutionary Computation
Data mining,Facial recognition system,Feature vector,Authentication,Computer science,Evolutionary computation,Feature extraction,Access control,Artificial intelligence,Biometrics,Replay attack,Machine learning
Journal
Volume
ISSN
Citations 
8
1877-0509
8
PageRank 
References 
Authors
0.52
12
9
Name
Order
Citations
PageRank
Joseph Shelton14011.67
Kelvin S. Bryant2256.01
Sheldon Abrams380.52
Lasanio Smalls4110.92
Joshua Adams5789.83
Derrick Leflore680.52
Aniesha Alford7325.91
Karl Ricanek816518.65
Gerry V. Dozier932644.63