ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Understanding Keystroke Dynamics for Smartphone Users Authentication and Keystroke Dynamics on Smartphones Built-In Motion Sensors
Cited 23 time in scopus Download 3 time Share share facebook twitter linkedin kakaostory
저자
이현구, 황정연, 김동인, 이신철, 이성훈, 신지선
발행일
201803
출처
Security and Communication Networks, v.2018, pp.1-11
ISSN
1939-0114
출판사
Wiley-Blackwell
DOI
https://dx.doi.org/10.1155/2018/2567463
협약과제
18HH3500, 비대면 본인확인을 위한 바이오 공개키 기반구조 기술 개발, 조상래
초록
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 제안 키워드
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