DocumentCode :
2361034
Title :
Improved Visual Preference Authentication
Author :
Jakobsson, Markus ; Siadati, Hossein
fYear :
2012
fDate :
25-25 June 2012
Firstpage :
27
Lastpage :
34
Abstract :
We describe an improved preference-based password reset scheme in which both security and usability of previous approaches are dramatically improved on. We report on experimental findings supporting these claims. Our experiment shows a false negative rate on the order of 0.9% and a false positive rate on the order of 0.5% for a choice of parameters that result in a registration time of 100 seconds and an authentication time of 40 seconds. The improvements are due to a tertiary classification during authentication, instead of a binary classification, which allows a reduction in the number it items to be classified. Preference-based authentication schemes offer higher retention rates and lower risks for data-mining based attacks than comparable knowledge-based authentication schemes.
Keywords :
data mining; knowledge based systems; message authentication; pattern classification; authentication time; binary classification; data-mining based attacks; false negative rate; false positive rate; knowledge-based authentication schemes; preference-based password reset scheme; registration time; tertiary classification; time 100 s; time 40 s; visual preference authentication; Authentication; Correlation; Error analysis; Image resolution; Usability; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Socio-Technical Aspects in Security and Trust (STAST), 2012 Workshop on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2748-0
Type :
conf
DOI :
10.1109/STAST.2012.13
Filename :
6363426
Link To Document :
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