Title :
An Adaptive Framework for Biometric Systems
Author :
Venkatraman, Sitalakshmi
Author_Institution :
Sch. of Inf. Technol. & Math. Sci., Univ. of Ballarat, Ballarat, VIC
Abstract :
This paper provides guidelines to classify biometric systems based on the level of privacy and security risks associated with their transactions. The classification of biometric systems as basic, medium or advanced details how the transactions make use of biometric information for one or more purposes, such as, authorisation, accountability and analysis of sensitive data. An adaptive framework proposed here considers this classification as the fundamental building block in providing a step-wise implementation procedure for implementing biometric systems. It is believed that by adopting such an adaptive framework, societies, businesses and government would be able to harness the benefits of biometrics. This would pave way for a significantly faster diffusion of biometric systems in many everyday life scenarios.
Keywords :
biometrics (access control); data privacy; security of data; adaptive framework; biometric information; biometric systems; privacy-security risks; Biometrics; Business; Costs; Fingerprint recognition; Geometry; Government; Guidelines; Information security; Pattern recognition; Privacy; Adaptive Framework; Biometric Systems; Biometric Transactions; Privacy / Security Risk;
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
DOI :
10.1109/ICCET.2009.98