Keystroke dynamics-based user authentication using freely typed text based on user-adaptive feature extraction and novelty detection
- Authors
- Kim, Junhong; Kim, Haedong; Kang, Pilsung
- Issue Date
- 1월-2018
- Publisher
- ELSEVIER
- Keywords
- Keystroke dynamics; User authentication; User-adaptive features; Novelty detection; Free text
- Citation
- APPLIED SOFT COMPUTING, v.62, pp.1077 - 1087
- Indexed
- SCIE
SCOPUS
- Journal Title
- APPLIED SOFT COMPUTING
- Volume
- 62
- Start Page
- 1077
- End Page
- 1087
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/78549
- DOI
- 10.1016/j.asoc.2017.09.045
- ISSN
- 1568-4946
- Abstract
- Keystroke dynamics has been used to strengthen password-based user authentication systems by considering the typing characteristics of legitimate users. The main problem with login-based authentication systems is that they cannot authenticate users after login access is granted. To ensure continuous user authentication, keystroke dynamics collected from freely typed text during the login period has been utilized; however, the authentication performance was unsatisfactory. To enhance the performance of user authentication based on freely typed keystrokes, we propose a user-adaptive feature extraction method that captures individual users' distinctive typing behaviors embedded in relative typing speeds for different digraphs. Based on experimental results obtained from 150 participants with more than 13,000 keystrokes per each user in two languages (Korean and English), the proposed method achieved the best equal error rate (0.44). Furthermore, the authentication performance was enhanced by 45.3% for Korean and 39.0% for English compared with the benchmark fixed feature extraction method. (C) 2017 Elsevier B.V. All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.