Evaluation of a Knowledge Based Authentication Mechanism through Persuasive Cued Click Points

نویسنده

  • Y.Sravana Lakshmi
چکیده

Authentication is the first line of defence against compromising confidentiality and integrity. Password protection is a security process that protects information from unauthorized user. An important usability goal for knowledge-based authentication systems is to support users in selecting passwords of very high security, in the sense of being from an expanded effective security space. We use persuasion to influence user choice in click-based graphical passwords, encouraging users to select more random, and hence more difficult to guess, click-point. This paper presents an integrated evaluation of the persuasive cued click-points graphical password scheme, including usability and security evaluations, and implementation considerations. It reflects a proposed system which uses graphical password using knowledge based authentication mechanism. Users select their images for any click points and for one click point display the next image having a specific relational order. The use of inclusive exclusive principal can be applied to find the minimum or maximum number of images required to form the image sequence reducing shoulder surfing problem.

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تاریخ انتشار 2015