Abstract
Biometric is used as a main security fence in a computer system. The unique characteristics of a person can be distinguished from each other. Human’s biometrics can be categorized into three types: morphological, biological and behavioural. Morphological biometrics uses physical features for recognition. Biological biometrics used to identify user based on biological features. Behavioural biometrics such as gender, culture, height and weight can be used as an additional security measure within a system. These biometric behavioural features are also known as soft biometric. This study uses soft biometric elements (gender, culture, region of birth and educational level) in the keystroke dynamic study to distinguish typing patterns in each of these categories. The Support Vector Machine (SVM) classification method is used to perform this classification for soft biometric identification. The results of this study have shown that soft biometrics in keystroke dynamic can be used to distinguish group of individuals typing.
Highlights
Keystroke dynamics (KD) is a method of identifying users based on how the operator uses a keyboard to type [1, 2]
It can be concluded that the Malays VS Chinese had the highest average accuracy rate of 86.02% for the 50% learning ratio
The most distinguishable typing method was for the North versus Central and North versus East categories due to at 50% Support Vector Machine (SVM) learning, the accuracy obtained was over 80%
Summary
Keystroke dynamics (KD) is a method of identifying users based on how the operator uses a keyboard to type [1, 2]. Other researchers continue to conduct study using the soft biometric elements available to each individual using the elements such as mole, iris or eye retina [8], scar effect / tattoo [9], body figure [9], gender [10, 11], [12], ethnicity [13], eye color, height [12], weight, hair color [14], age, BMI, walking style [15], sitting style [16], eyebrow, blood type [17], heartbeat, talking style [18], vein image [19], facial shape [20], facial skin / figure, and ear shape [17]. This study incorporates soft biometric elements (culture, gender, region of birth and CGPA) in the KD study
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