Graphical user authentication system (GUAS)

Nowadays, the most accepted computer authentication technique is to use alphanumerical usernames with text-based password. This method has been proven to have significant multiple weaknesses. For example, users tend to choose the passwords that can be easily cracked. On the other hand, if a password...

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Main Author: Tan, Woei Wen
Format: Undergraduates Project Papers
Language:English
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/13402/1/FSKKP%20-%20TAN%20WOEI%20WEN.PDF
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author Tan, Woei Wen
author_facet Tan, Woei Wen
author_sort Tan, Woei Wen
collection UMP
description Nowadays, the most accepted computer authentication technique is to use alphanumerical usernames with text-based password. This method has been proven to have significant multiple weaknesses. For example, users tend to choose the passwords that can be easily cracked. On the other hand, if a password is difficult to guess, then it is often hard to memorize. To address those issues, some researchers have developed graphical-based authentication algorithm that implement pictures as passwords. In this project, I had conduct an in-depth comprehensive review regarding the existing graphical password scheme. Furthermore, I classify these existing Graphical User Authentication System (GUAS) into two kinds of mechanism, which are: recognition-based and recall-based approaches. Besides that, I will examine the strengths and limitations of each technique and identify the future research directions. I also developed an improved version of GUAS algorithm address the common limitation exists in the current graphical password techniques. Overall, in this thesis, the scheme of the new technique will be proposed, the advantages of technique will be outlined and lastly, the future work will be anticipated as well.
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spelling UMPir134022021-04-01T03:48:17Z http://umpir.ump.edu.my/id/eprint/13402/ Graphical user authentication system (GUAS) Tan, Woei Wen QA76 Computer software T Technology (General) Nowadays, the most accepted computer authentication technique is to use alphanumerical usernames with text-based password. This method has been proven to have significant multiple weaknesses. For example, users tend to choose the passwords that can be easily cracked. On the other hand, if a password is difficult to guess, then it is often hard to memorize. To address those issues, some researchers have developed graphical-based authentication algorithm that implement pictures as passwords. In this project, I had conduct an in-depth comprehensive review regarding the existing graphical password scheme. Furthermore, I classify these existing Graphical User Authentication System (GUAS) into two kinds of mechanism, which are: recognition-based and recall-based approaches. Besides that, I will examine the strengths and limitations of each technique and identify the future research directions. I also developed an improved version of GUAS algorithm address the common limitation exists in the current graphical password techniques. Overall, in this thesis, the scheme of the new technique will be proposed, the advantages of technique will be outlined and lastly, the future work will be anticipated as well. 2014 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13402/1/FSKKP%20-%20TAN%20WOEI%20WEN.PDF Tan, Woei Wen (2014) Graphical user authentication system (GUAS). Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang.
spellingShingle QA76 Computer software
T Technology (General)
Tan, Woei Wen
Graphical user authentication system (GUAS)
title Graphical user authentication system (GUAS)
title_full Graphical user authentication system (GUAS)
title_fullStr Graphical user authentication system (GUAS)
title_full_unstemmed Graphical user authentication system (GUAS)
title_short Graphical user authentication system (GUAS)
title_sort graphical user authentication system guas
topic QA76 Computer software
T Technology (General)
url http://umpir.ump.edu.my/id/eprint/13402/1/FSKKP%20-%20TAN%20WOEI%20WEN.PDF
work_keys_str_mv AT tanwoeiwen graphicaluserauthenticationsystemguas