Integration of Sound Signature in Graphical Password Authentication System
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 click point this sound signature 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.
Existing System:
In the existing system, Brostoff and sasse 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, 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 in effect, cued click points (ccp) is a proposed alternative to pass points.
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. 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.
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
Disadvantages of Existing System:
The problem with this existing 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 the existing system is the need for the predefined regions to be readily identifiable.
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 with 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.
Profile Vectors-
The proposed system creates user profile as follows-
Master vector - (User ID, Sound Signature frequency, Tolerance)
Detailed Vector - (Image, Click Points)
As an example of vectors -
Master vector (Smith, 2689, 50)
Detailed Vector
Image Click points
I 1 (123,678)
I 2 (176,134)
I 3 (450,297)
I 4 (761,164)
Advantages of Proposed System:
ü The proposed sound signature will be used to help the user to login.
ü The proposed System also has a very good Performance in terms of speed, accuracy, and ease of use.
ü 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
MODULES:
ü Create User profile Vector (master)
ü Create Detailed Vector
ü Compare User Profile/login Vector
ü Upload/Download Module
MODULES DESCRIPTION:
1. Create User profile Vector(master):
While registration of user information, the user id, sound frequency or time and tolerance are getting for creating master vector.
Master vector -
(User ID, Sound Signature frequency, Tolerance)
2. Create Detailed Vector:
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.
Detailed Vector - (Image, Click Points)
3. Compare User Profile/login Vector:
Enters User ID and select one sound frequency or time which he want to be played at login time, a tolerance value is also selected with will decide that the user is legitimate or an imposter. Users preferred CCP to Pass Points, saying that selecting and remembering only one point per image and sound signature helps considerably for login.
4. Upload/Download Module:
Admin, defence, navy and air force are going to upload secret file between them. They can share the uploaded files. User (defence, airforce and navy) uses sound signature for download files. System showed very good Performance in terms of speed, accuracy, and ease of use.
System Flow Chart:
System Requirements:
Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• Ram : 512 Mb.
Software Requirements:
• Operating system : Windows XP.
• Coding Language : ASP.Net with C#.
• Data Base : SQL Server 2005.
REFERENCE:
Saurabh Sing and Gaurav Agarwal, “Integration of Sound Signature in Graphical Password Authentication System”, International Journal of Computer Applications (0975-8887), Volume 12-NO.9, January 2011.
