Behavioral Biometrics for User Authentication Using Self- Refreshing SOM

Teh, Chee Siong and Wong, Juen Ching and Yii, Ming Leong (2017) Behavioral Biometrics for User Authentication Using Self- Refreshing SOM. Advance Science Letters, 23 (11). pp. 11078-11082. ISSN 1936-6612

Full text not available from this repository. (Request a copy)
Official URL:


Password protection has been a crucial issue in computer security. Traditional password protection using string does not provide sufficient security for user authentication. On the other hand, implementation of static biometrics in replace of password protection is costly as specific devices are needed. This research proposes the use of Self-Organizing Map (SOM) method for keystroke pattern recognition as an alternative to password protection. A self-refreshing SOM method was also implemented to increase the adaptability of SOM toward inconsistencies in typing pattern. Two main experiments were conducted to examine the ability of SOM for user recognition and the ability of self-refreshing SOM to deal with typing pattern inconsistencies. The first experiment shows the ability of SOM to authenticate users with very accurate classification. Users were successfully recognized and non-users were successfully rejected. Second experiment shows the ability of selfrefreshing SOM to deal with inconsistencies in typing pattern of a same user in which smoother transition of data trend was obtained.

Item Type: Article
Uncontrolled Keywords: Behavioral biometrics, intelligent system, computer security, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development
Depositing User: Siong
Date Deposited: 12 Dec 2017 02:07
Last Modified: 12 Dec 2017 02:07

Actions (For repository members only: login required)

View Item View Item