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5 January 2024 Comparative analysis of classification algorithm to authenticate user based on keystroke technique
Nazirah Abd Hamid, Raja Hasyifah Raja Bongsu, Mohamad Afendee Mohamed, Ahmad Faisal Amri Abidin Bharun, Mohd Fadzil Abdul Kadir, Nurazizah Youzlan, Volodymyr Rusyn
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Proceedings Volume 12938, Sixteenth International Conference on Correlation Optics; 129381V (2024) https://doi.org/10.1117/12.3014601
Event: International Conference Correlation Optics (COR 2023), 2023, Chernivtsi, Ukraine
Abstract
Many people are using their mobile or smartphone to store data and allow the user to access the internet and many online services. These situations are causing an intensification of cybercrimes, thus, to improve the security of the password required, the mobile phone came out with an alternative method, by using biometrics technology. This study firstly would be focusing on the implementation of typing patterns known as keystroke technique and secondly to conduct analysis to determine whether it is suitable to be implemented as an authentication technique by training and testing the dataset with several machine learning classifiers. From the seven classification techniques, three suitable classifiers have been identified and the results show that Random Forest with False Accepted Rate (FAR) of 0.2% and False Rejection Rate (FRR) of 5.31% had the best performance It can be concluded that keystroke technique has the potential to be a good method to authenticate a user with further research.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Nazirah Abd Hamid, Raja Hasyifah Raja Bongsu, Mohamad Afendee Mohamed, Ahmad Faisal Amri Abidin Bharun, Mohd Fadzil Abdul Kadir, Nurazizah Youzlan, and Volodymyr Rusyn "Comparative analysis of classification algorithm to authenticate user based on keystroke technique", Proc. SPIE 12938, Sixteenth International Conference on Correlation Optics, 129381V (5 January 2024); https://doi.org/10.1117/12.3014601
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KEYWORDS
Education and training
Random forests
Analytical research
Machine learning
Biometrics
Feature extraction
Data modeling
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