Multicriteria optimization to select images as passwords in recognition based graphical authentication systems

Chowdhury, S., Poet, R. and Mackenzie, L. (2013) Multicriteria optimization to select images as passwords in recognition based graphical authentication systems. In: HCI International 2013, Las Vegas, NV, USA, 21 - 26 Jul 2013, pp. 13-22. (doi: 10.1007/978-3-642-39345-7_2)

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Abstract

Usability and guessability are two conflicting criteria in assessing the suitability of an image to be used as password in the recognition based graph -ical authentication systems (RGBSs). We present the first work in this area that uses a new approach, which effectively integrates a series of techniques in order to rank images taking into account the values obtained for each of the dimen -sions of usability and guessability, from two user studies. Our approach uses fuzzy numbers to deal with non commensurable criteria and compares two multicriteria optimization methods namely, TOPSIS and VIKOR. The results suggest that VIKOR method is the most applicable to make an objective state-ment about which image type is better suited to be used as password. The paper also discusses some improvements that could be done to improve the ranking assessment.

Item Type:Conference Proceedings
Additional Information:The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-39345-7_2
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Poet, Dr Ron
Authors: Chowdhury, S., Poet, R., and Mackenzie, L.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2013 Springer Verlag
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.

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