Abstract
It is well known that humans are far better in recalling person's face than his name. One of the promising approaches for devising a secure password scheme would be using a set of images as passwords rather than conventional PIN numbers. We have investigated such potential using an experimental paradigm by which security and usability for three different categories of images (i.e. landscapes scenes, random faces, familiar faces) can be compared. The results suggest that performance of the subjects was reliably higher for the "familiar faces" case than for other cases. Issues such as "Known-face attack" and "Camera Attack" were discussed. We propose a more secure, and yet usable, visual password system by exploiting human's innate capability of fast face identification against serial images of faces and implement it on a PDA for using within the pervasive and mobile environment.
| Original language | English |
|---|---|
| Pages (from-to) | 274-279 |
| Number of pages | 6 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 3314 |
| Publication status | Published - 2004 Dec 1 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
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Research output: Contribution to journal › Article
TY - JOUR
T1 - A0m
AU - Kwon, Taekyoung
PY - 2004/12/1
Y1 - 2004/12/1
N2 - It is well known that humans are far better in recalling person's face than his name. One of the promising approaches for devising a secure password scheme would be using a set of images as passwords rather than conventional PIN numbers. We have investigated such potential using an experimental paradigm by which security and usability for three different categories of images (i.e. landscapes scenes, random faces, familiar faces) can be compared. The results suggest that performance of the subjects was reliably higher for the "familiar faces" case than for other cases. Issues such as "Known-face attack" and "Camera Attack" were discussed. We propose a more secure, and yet usable, visual password system by exploiting human's innate capability of fast face identification against serial images of faces and implement it on a PDA for using within the pervasive and mobile environment.
AB - It is well known that humans are far better in recalling person's face than his name. One of the promising approaches for devising a secure password scheme would be using a set of images as passwords rather than conventional PIN numbers. We have investigated such potential using an experimental paradigm by which security and usability for three different categories of images (i.e. landscapes scenes, random faces, familiar faces) can be compared. The results suggest that performance of the subjects was reliably higher for the "familiar faces" case than for other cases. Issues such as "Known-face attack" and "Camera Attack" were discussed. We propose a more secure, and yet usable, visual password system by exploiting human's innate capability of fast face identification against serial images of faces and implement it on a PDA for using within the pervasive and mobile environment.
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UR - http://www.scopus.com/inward/citedby.url?scp=35048889064&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:35048889064
VL - 3314
SP - 274
EP - 279
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
ER -