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. |
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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