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Understanding Keystroke Dynamics for Smartphone Users Authentication and Keystroke Dynamics on Smartphones Built-In Motion Sensors
Joint Authors
Lee, Hyungu
Hwang, Jung Yeon
Kim, Dong In
Lee, Shincheol
Lee, Sung-Hoon
Shin, Ji Sun
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Lee, Hyungu& Hwang, Jung Yeon& Kim, Dong In& Lee, Shincheol& Lee, Sung-Hoon& Shin, Ji Sun. 2018. Understanding Keystroke Dynamics for Smartphone Users Authentication and Keystroke Dynamics on Smartphones Built-In Motion Sensors. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1213997
Modern Language Association (MLA)
Lee, Hyungu…[et al.]. Understanding Keystroke Dynamics for Smartphone Users Authentication and Keystroke Dynamics on Smartphones Built-In Motion Sensors. Security and Communication Networks No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1213997
American Medical Association (AMA)
Lee, Hyungu& Hwang, Jung Yeon& Kim, Dong In& Lee, Shincheol& Lee, Sung-Hoon& Shin, Ji Sun. Understanding Keystroke Dynamics for Smartphone Users Authentication and Keystroke Dynamics on Smartphones Built-In Motion Sensors. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1213997
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213997