Title :
An empirical analysis of cancellable transformations in a behavioural biometric modality
Author :
Damasceno, Marcelo ; Canuto, Anne M. P.
Author_Institution :
Fed. Inst. of Rio Grande do Norte (IFRN), Fed. Univ. of Rio Grande do Norte (UFRN), Natal, Brazil
Abstract :
This paper presents an experimental analysis in a revocable biometric verification problem. Behavioural Biometric-based systems are the emergent area in future of the user identification, verification and access control systems. However, there is still much progress to be done in this field, specially related to system security and acceptable accuracy results for practical use. One alternative solution to the security problem in biometric data is a technique known as cancellable biometrics. This technique consists of applying a transformation on the biometric data in order to protect the original characteristics. This work aims to investigate the use of cancellable transformation functions in a behavioural biometric system used everyday for million of people (touchscreen devices). The main goal is to analyse the advantages and challenges that cancellable transformation functions may bring to behavioural biometric verification systems.
Keywords :
authorisation; biometrics (access control); access control system; behavioural biometric modality; behavioural biometric verification systems; behavioural biometric-based systems; biometric data security; cancellable transformations; revocable biometric verification; user identification; user verification; Biomedical measurement; Biometrics (access control); Convolution; Privacy; behavioural biometrics; cancellable biometrics; cancellable transformation functions; template protection; touchscreen dataset; user authentication;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2013 13th International Conference on
Conference_Location :
Gammarth
Print_ISBN :
978-1-4799-2438-7
DOI :
10.1109/HIS.2013.6920473