Monday, 14 September 2015

Graphical password authentication using Pass faces


Summary

System goes through several phases before creating a password and while logging into the system such as image selection, image distortion, text association and finally password generation. At the time of login, one correct image from a 3X3 grid is identified. Grid shows up one correct image and eight decoy faces and shuffles faces for every attempt. Only upon identifying correct image and entering text associated with it, user gets access to the system. In Password creation phase, user is given two options; user can either provide images of their choice or can select images from system database. In either of the choice user is required to provide three images. System uses distortion technique in Distortion phase to distort received or the provided images. This distortion of images is carried out by using filters. System then displays both the distorted and original images to the user; so that it is easier for user to mentally associate the distorted images. User is also required to enter some random text for each of these images. Both original and distorted images along with the text are saved or preserved in database.During Authentication phase, only valid user is or will be granted access to the system. The system will ask the user to identify one out of three user entered images from the grid containing one correct image and 8 decoy faces and also entering the associated text. User gets only two attempts to identify correct images from the grid and to enter the associated text of the image. The system shuffles the images in the grid every time the user logs in to the system. There is a growing interest in using pictures as passwords instead of alphanumeric passwords. The main reason for using Graphical passwords is they can be easily recalled. The Distortion Technique can mitigate the risk of the collective educated guess attacks using the Biases in users’ choices of authentication images.

http://www.ijera.com/papers/Vol5_issue3/Part%20-%205/M503056064.pdf

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