Abstract
Usability and guessability are two conflicting criteria in assessing thesuitability 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.
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Chowdhury, S., Poet, R., Mackenzie, L. (2013). Multicriteria Optimization to Select Images as Passwords in Recognition Based Graphical Authentication Systems. In: Marinos, L., Askoxylakis, I. (eds) Human Aspects of Information Security, Privacy, and Trust. HAS 2013. Lecture Notes in Computer Science, vol 8030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39345-7_2
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DOI: https://doi.org/10.1007/978-3-642-39345-7_2
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