Towards the Security Evaluation of Biometric Authentication Systems
| Autor: | Jean Jacques Schwartzmann, Christophe Rosenberger, Baptiste Hemery, Romain Giot, Mohamad El-Abed |
|---|---|
| Přispěvatelé: | Référent, Greyc, Barbier, Morgan, Equipe SAFE - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), Orange Labs [Caen], Orange Labs |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Engineering
Security analysis Biometrics Data_MISCELLANEOUS vulnerability Vulnerability 02 engineering and technology Computer security computer.software_genre 01 natural sciences Security information and event management [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR] risk factor 020204 information systems 0202 electrical engineering electronic engineering information engineering threat [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR] Password business.industry 010401 analytical chemistry Risk factor (computing) security evaluation 0104 chemical sciences Keystroke dynamics Physical access business computer |
| Zdroj: | IACSIT International Journal of Engineering and Technology IACSIT International Journal of Engineering and Technology, 2012, pp.315-320 International Conference on Security Science and Technology (ICSST) International Conference on Security Science and Technology (ICSST), 2011, melbourne, Australia. pp.167-173 |
| Popis: | International audience; Despite the obvious advantages of biometric authentication systems over traditional security ones (based on tokens or passwords), they are vulnerable to attacks which may considerably decrease their security. In order to contribute in resolving such problematic, we propose a modality-independent evaluation methodology for the security evaluation of biometric systems. It is based on the use of a database of common threats and vulnerabilities of biometric systems, and the notion of risk factor. The proposed methodology produces a security index which characterizes the overall security level of biometric systems. We have applied it on two different biometric systems (one research laboratory implementation of keystroke dynamics and a commercial system for physical access control using fingerprints) for clarifying its benefits. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|