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Reseach Article

Image based Authentication System

Published on October 2013 by Pintu R Shah
International Conference on Communication Technology
Foundation of Computer Science USA
ICCT - Number 4
October 2013
Authors: Pintu R Shah

Pintu R Shah . Image based Authentication System. International Conference on Communication Technology. ICCT, 4 (October 2013), 1-4.

author = { Pintu R Shah },
title = { Image based Authentication System },
journal = { International Conference on Communication Technology },
issue_date = { October 2013 },
volume = { ICCT },
number = { 4 },
month = { October },
year = { 2013 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/icct/number4/13666-1331/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Proceeding Article
%1 International Conference on Communication Technology
%A Pintu R Shah
%T Image based Authentication System
%J International Conference on Communication Technology
%@ 0975-8887
%N 4
%P 1-4
%D 2013
%I International Journal of Computer Applications

Username and password are the most commonly used mechanism for authentication because of simplicity and convenience. However it suffers from few drawbacks like selection of weak passwords by the users, users disclosing their passwords etc. This weakens the security posture of the organizations. Hence we propose a new image based authentication system. Research suggests that use of images may be more effective in terms of security and ease of use for some application. This is because we, humans are good at recognizing images than remembering password. In this paper we describe new image based authentication system which can be used independently or along with current character based authentication system to improve security and usability. We implemented the said system along with current authentication system (username and password). We carried out the user survey. Around seventy users including students and faculty tested the system and gave their feedback. After analysis, One of the key outcome is that 97% were able to register with the system and 94% we able to successfully authenticate with the system. Results of the user feedback are presented and discussed in this paper.

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Index Terms

Computer Science
Information Sciences


Authentication Image Based Authentication Graphical Passwords Multi Level Authentication Usable Security Human Computer Interaction.