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GRAPHICAL PASSWORD AUTHENTICATION WITH SOUND INTEGRATION

ABSTRACT: Here, a graphical password system with a supportive sound signature to increase the remembrance of the password is discussed. In proposed work a click-based graphical password scheme called Cued Click Points (CCP) is presented. In this system a password consists of sequence of some images in which user can select one click-point per image. In addition user is asked to select a sound frequency or time which he wants to be played at login time will be used to help the user to login. System showed very good performance in terms of speed, accuracy, and ease of use. Users preferred CCP to Pass Points, saying that selecting and remembering only one point per image was easier and sound signature helps considerably in recalling the click points. PROPOSED SYSTEM:

In the proposed work we have integrated sound signature to help in recalling the password. No system has been devolved so far which uses sound signature in graphical password authentication.
Study says that sound signature or tone can be used to recall facts like images, text etc. In daily life we see various examples of recalling an object by the sound related to that object enters User ID and select one sound frequency which he want to be played at login time, a tolerance value is also selected which will decide that the user is legitimate or an imposter.
To create detailed vector user has to select sequence of images and clicks on each image at click points of his choice. Profile vector is created.

EXISTING SYSTEM:

In the existing system, Brostoff and sasse carried out an empirical study of pass faces, which illustrates well how a graphical password recognition system typically operates. Blonder-style passwords are based on cued recall. A user clicks on several previously chosen locations in a single image to log in. As implemented by Passlogix Corporation, the user chooses several predefined regions in an image as his or

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