TY - JOUR
AU - 
AB - Annals of Emerging Technologies in Computing (AETiC) Review Article Identification of the Exclusivity of Individual’s Typing Style Using Soft Biometric Elements 1* 1 1 Mohd Noorulfakhri Yaacob , Syed Zulkarnain Syed Idrus , Wan Azani Wan Mustafa , 1 2 Mohd Aminudin Jamlos and Mohd Helmy Abd Wahab Universiti Malaysia Perlis, Malaysia fakhri@unimap.edu.my; syzul@unimap.edu.my; wanazani@unimap.edu.my; mohdaminudin@unimap.edu.my Universiti Tun Hussein Onn Malaysia, Malaysia. helmy@uthm.edu.my *Correspondence: fakhri@unimap.edu.my th th st Received: 17 October 2020; Accepted: 15 November 2020; Published: 1 April 2021 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 
TI - Identification of the Exclusivity of Individual’s Typing Style Using Soft Biometric Elements
JF - Annals of Emerging Technologies in Computing
DO - 10.33166/aetic.2021.05.002
DA - 2021-03-20
UR - https://www.deepdyve.com/lp/unpaywall/identification-of-the-exclusivity-of-individual-s-typing-style-using-mvxcmjCCy0
DP - DeepDyve
ER -