Paper
14 March 2013 Enhanced visual secret sharing for graphical password authentication
A. B. Rajendra, H. S. Sheshadri
Author Affiliations +
Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 876835 (2013) https://doi.org/10.1117/12.2010934
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
Abstract
Password is a very common and widely used authentication method to provide security to valuable data. It is desirable to make password more memorable and easier for people to use. Traditionally passwords are alphanumeric, numbers & symbols. Some problems of normal password appear like stolen the password, forgetting the password, week password. Study shows that text-based passwords suffer with both security and authentication problems. To overcome these problems, Graphical passwords have been developed. Visual secret sharing (VSS) scheme is a secret sharing scheme in which an image is converted into shares. No information can be revealed by observing any share (Dotted image). The information about the original image will be revealed only after stacking sufficient number of shares (Dotted images). In this paper, we have used XNOR operation instead of OR operation and contrast of the decrypted image is clearer than existing Enhanced Visual Secret Sharing (EVSS) scheme. Also, we are presenting new approach to authenticate graphical password image using 2-out-of-2 EVSS scheme. Which can be used to protect machines with additional security.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. B. Rajendra and H. S. Sheshadri "Enhanced visual secret sharing for graphical password authentication", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876835 (14 March 2013); https://doi.org/10.1117/12.2010934
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Visualization

Computer security

Image enhancement

Image encryption

Matrices

Surgery

Image stacking

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