29-05-2012, 05:25 PM
Integration of Sound Signature in Graphical Password
Authentication System
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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 signature corresponding to each
click point this sound signature will be used to help the user in
recalling the click point on an image. 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.
Introduction
Mostly user select password that is predictable. This happens
with both graphical and text based passwords. Users tend to
choose memorable password, unfortunately it means that the
passwords tend to follow predictable patterns that are easier
for attackers to guess. While the predictability problem can be
solved by disallowing user choice and assigning passwords to
users, this usually leads to usability issues since users cannot
easily remember such random passwords. Number of
graphical password systems have been developed, Study
shows that text-based passwords suffers with both security
and usability problems[1][8]. According to a recent news
article, a security team at a company ran a network password
cracker and within 30 seconds and they identified about 80%
of the passwords [2]. It is well know that the human brain is
better at recognizing and recalling images than text[3][7],
graphical passwords exploit this human characteristic.
PREVIOUS WORK
Considerable work has been done in this area,The best known
of these systems are Passfaces [4][7]. Brostoff and Sasse
(2000) carried out an empirical study of Passfaces, 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 (Boroditsky, 2002), the user chooses several
predefined regions in an image as his or her password. To log
in the user has to click on the same regions. The problem with
this scheme is that the number of predefined regions is small,
perhaps a few dozens in a picture. The password may have to
be up to 12 clicks for adequate security, again tedious for the
user. Another problem of this system is the need for the
predefined regions to be readily identifiable. In effect, this
requires artificial, cartoon-like images rather than complex,
real-world scenes[5][6]. Cued Click Points (CCP) is a
proposed alternative to PassPoints. In CCP, users click one
point on each of 5 images rather than on five points on one
image. It offers cued-recall and introduces visual cues that
instantly alert valid users if they have made a mistake when
entering their latest click-point (at which point they can cancel
their attempt and retry from the beginning). It also makes
attacks based on hotspot analysis more challenging. As shown
in Figure 1, each click results in showing a next-image, in
effect leading users down a “path” as they click on their
sequence of points. A wrong click leads down an incorrect
path, with an explicit indication of authentication failure only
after the final click. Users can choose their images only to the
extent that their click-point dictates the next image. If they
dislike the resulting images, they could create a new password
involving different click-points to get different images.
PROPOSED WORK
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[6]. In daily life we see
various examples of recalling an object by the sound related to
that object [6]. Our idea is inspired by this novel human
ability.
CONCLUSION AND FUTURE WORK
We have proposed a novel approach which uses sound
signature to recall graphical password click points. No
previously developed system used this approach this system is
helpful when user is logging after a long time. In future
systems other patterns may be used for recalling purpose like
touch of smells, study shows that these patterns are very
useful in recalling the associated objects like images or text.