A0m

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)274-279
Number of pages6
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3314
Publication statusPublished - 2004 Dec 1

Fingerprint

Personal digital assistants
Cameras
Face
Password
Attack
Usability
Person
Camera
Paradigm

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

@article{3e30f477db954066a23256b9d7055169,
title = "A0m",
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.",
author = "Taekyoung Kwon",
year = "2004",
month = "12",
day = "1",
language = "English",
volume = "3314",
pages = "274--279",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Verlag",

}

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.

UR - http://www.scopus.com/inward/record.url?scp=35048889064&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35048889064&partnerID=8YFLogxK

M3 - Article

VL - 3314

SP - 274

EP - 279

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -