DocumentCode :
2126554
Title :
Physiological Signals: The Next Generation Authentication and Identification Methods!?
Author :
Van Den Broek, Egon L. ; Spitters, Martijn
Author_Institution :
Media & Network Services, TNO Tech. Sci., Delft, Netherlands
fYear :
2013
fDate :
12-14 Aug. 2013
Firstpage :
159
Lastpage :
162
Abstract :
Throughout the last 40 years, the security breach caused by human error is often disregarded. To relief the latter problem, this article introduces a new class of biometrics that is founded on processing physiological personal features, as opposed to physical and behavioral features. After an introduction on authentication, physiological signals are discussed, including their advantages, disadvantages, and initial directives for obtaining them. This new class of authentication methods can increase biometrics´ robustness and enables cross validation. I close this article with a brief discussion in which a recap of the article is provided, law, privacy, and ethical issues are discussed, some suggestions for the processing pipeline of this new class of authentication methods are done, and conclusions are drawn.
Keywords :
authorisation; biometrics (access control); data privacy; ethical aspects; law; physiology; authentication methods; biometrics; cross validation; ethical issues; human error; identification methods; law issues; physiological personal features; physiological signals; privacy issues; security breach; Authentication; Bioinformatics; Biometrics (access control); Physiology; Privacy; Signal processing; authetication; biometrics; biosignals; identification; physiological signals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Security Informatics Conference (EISIC), 2013 European
Conference_Location :
Uppsala
Type :
conf
DOI :
10.1109/EISIC.2013.35
Filename :
6657145
Link To Document :
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