ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Understanding Keystroke Dynamics for Smartphone Users Authentication and Keystroke Dynamics on Smartphones Built-In Motion Sensors
Cited 33 time in scopus Download 3 time Share share facebook twitter linkedin kakaostory
Authors
Hyungu Lee, Jung Yeon Hwang, Dong In Kim, Shincheol Lee, Sung-Hoon Lee, Ji Sun Shin
Issue Date
2018-03
Citation
Security and Communication Networks, v.2018, pp.1-11
ISSN
1939-0114
Publisher
Wiley-Blackwell
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1155/2018/2567463
Project Code
18HH3500, Development of Biometrics-based Key Infrastructure Technology for On-line Identification , Sangrae Cho
Abstract
Personal Identification Numbers (PINs) and pattern drawing have been used as common authentication methods especially on smartphones. Such methods, however, are very vulnerable to the shoulder surfing attack. Thus, keystroke dynamics that authenticate legitimate users based on their typing manner have been studied for years. However, many of the studies have focused on PC keyboard keystrokes. More studies on mobile and smartphones keystroke dynamics are warranted; as smartphones make progress in both hardware and software, features from smartphones have been diversified. In this paper, using various features including keystroke data such as time interval and motion data such as accelerometers and rotation values, we evaluate features with motion data and without motion data. We also compare 5 formulas for motion data, respectively. We also demonstrate that opposite gender match between a legitimate user and impostors has influence on authenticating by our experiment results.
KSP Keywords
Authentication method, Built-in, Experiment results, Keystroke Dynamics, Motion Data, Motion sensor, Pc keyboard, Personal Identification Numbers, Time interval, hardware and software, shoulder surfing attack