Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Touch gesture data based authentication method for smartphone users

Authors
Park, JunGyuKim, TaeGuenIm, Eul Gyu.
Issue Date
Oct-2016
Publisher
Association for Computing Machinery, Inc
Keywords
Mobile security and usability; Soft biometrics; Touch dynamics; User authentication
Citation
Proceedings of the 2016 Research in Adaptive and Convergent Systems, RACS 2016, pp.136 - 141
Indexed
SCOPUS
Journal Title
Proceedings of the 2016 Research in Adaptive and Convergent Systems, RACS 2016
Start Page
136
End Page
141
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153828
DOI
10.1145/2987386.2987410
Abstract
Among all the security technologies of smartphones, biometrics authentication technologies are on the rise to provide higher reliability and security. However, existing biometric authentication methods, such as fingerprints and voice recognition have some drawbacks. For example, many biometric authentication methods require special devices to collect biometric features. This paper proposes an authentication method based on inputs from the touchscreen of a smartphone. Our proposed authentication system uses 48 features from the touch gestures to authenticate the owner of a smartphone. We tested our proposed system and its EER was about 0.7%, and we claim that our system can be effective to authenticate smartphone owners.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Im, Eul Gyu photo

Im, Eul Gyu
COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
Read more

Altmetrics

Total Views & Downloads

BROWSE