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

摘要

Usability and guessability are two conflicting criteria in assessing the\udsuitability 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 \uduses a new approach, which effectively integrates a series of techniques in order \udto 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 \udfuzzy numbers to deal with non commensurable criteria and compares two \udmulticriteria optimization methods namely, TOPSIS and VIKOR. The results \udsuggest 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 \udalso discusses some improvements that could be done to improve the ranking \udassessment.