Open AccessA Review on Feature Extraction in Keystroke Dynamics
Author(s) -
Mohd Noorulfakhri Yaacob,
Syed Zulkarnain Syed Idrus,
Wan Khairuddin Wan Ali,
Wan Azani Mustafa,
Mohd Aminudin Jamlos,
Mohd Helmy Abd Wahab
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1529/2/022088
Subject(s) - keystroke dynamics , keystroke logging , feature (linguistics) , computer science , carry (investment) , process (computing) , typing , feature extraction , dynamics (music) , artificial intelligence , pattern recognition (psychology) , natural language processing , data mining , speech recognition , psychology , computer security , programming language , pedagogy , linguistics , password , philosophy , finance , s/key , economics
Feature extraction is an important process before an analysis of a data is carry out. Different behaviour of a user while using the keyboard is a feature that need to be identified in the Keystroke Dynamics (KD) study. Example are the difference between typing time between letters, typing speed and the force of a person pressing the keyboard. Past studies related to feature extraction for KD have been described in this paper. Various features that have been used are listed and the results of the study are compared. The results of this writing are expected to help new researchers in the process of evaluating KD.