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Authentication by cued recall on image recognition

by Kanthima Kongsathitsuwan

Title:

Authentication by cued recall on image recognition

Author(s):

Kanthima Kongsathitsuwan

Advisor:

Vichit Lorchirachoonkul

Degree name:

Doctor of Philosophy

Degree level:

Doctoral

Degree discipline:

Computer Science and Information Systems

Degree department:

School of Applied Statistics

Degree grantor:

National Institute of Development Administration

Issued date:

2015

Publisher:

National Institute of Development Administration

Abstract:

Graphical passwords have been studied by a variety of methods. According to the psychological beliefs, human can remember an image better than text. Therefore, clicking on a graphical password is easier than typing a text password. Moreover, graphical password can avoid the limitation of text password. This research introduces a method for improving the security of authentication by using a blurred image with a cue as a graphical password that is an integration of recognition-based graphical password and cued-recall based graphical passwords together. The objective of this research was to compare the recall and guessing rates of the proposed scheme with the recall rate and the guessing rate of the Use Your Illusion (UYI) scheme. The proposed method randomly selects a new set of images every time from the user register database when a registered user logs ins. The aim was to reduce the chance of an attacker guessing the correct graphical password. Furthermore, this research utilized the Diffie-Hellman algorithm to compute the position of the secret image. The secret image was used to merge with the selected graphical password. The research also utilized a hash algorithm to create a graphic digest for resisting the message masquerade and reducing the transmission time. This proposed scheme utilized SSL/TLS to maintain security.
Based on the simulation study, the findings indicated that the recall rate of the proposed scheme was better than the recall rate of the UYI scheme and the system login time was lower with the proposed graphical passwords with UYI graphical passwords. However, the guessing rates of these schemes were very similar.

Description:

Thesis (Ph.D. (Computer Science and Information Systems))--National Institute of Development Administration, 2015

Subject(s):

Cued-recall

Resource type:

Dissertation

Extent:

66 leaves

Type:

Text

File type:

application/pdf

Language:

eng

Rights:

ผลงานนี้เผยแพร่ภายใต้ลิขสิทธิ์ของสถาบันบัณฑิตพัฒนบริหารศาสตร์

Rights holder(s):

National Institute of Development Administration

URI:

https://repository.nida.ac.th/handle/662723737/5726
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ทรัพยากรสารสนเทศทั้งหมดในคลังปัญญา ใช้เพื่อประโยชน์ทางการเรียนการสอนและการค้นคว้าเท่านั้น และต้องมีการอ้างอิงแหล่งที่มาทุกครั้งที่นำไปใช้ ห้ามดัดแปลงเนื้อหา และทำสำเนาต่อ รวมถึงไม่ให้อนุญาตนำไปใช้ประโยชน์เพื่อการค้า ไม่ว่ากรณีใด ๆ ทั้งสิ้น



This item appears in the following Collection(s)

  • GSAS: Dissertations [158]
Copyright © National Institute of Development Administration | สถาบันบัณฑิตพัฒนบริหารศาสตร์
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Copyright © National Institute of Development Administration | สถาบันบัณฑิตพัฒนบริหารศาสตร์
Library and Education Service Center | สำนักบริการการศึกษาและบรรณสาร
Email: NIDAWR@nida.ac.th    Chat: Facebook Messenger    Facebook: NIDAWisdomRepository
 

 

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