research-article

User authentication on smartphones using keystroke dynamics

Authors:

Arafat AwajanAuthors Info & Claims

DATA '19: Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems

Article No.: 34, Pages 1 - 4

https://doi.org/10.1145/3368691.3368725

Published: 02 December 2019 Publication History

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Abstract

These days, mobile devices have very sensitive and personal data that needs to be secured. Mobile devices use authentication techniques to protect data from unauthorized access. Consequently, many authentication mechanisms were proposed and many techniques were applied. One of these mechanisms is the analysis of the typing rhythm. It is also known as keystroke dynamics which enhances the password-based authentication by identifying the users based on their typing rhythms. This paper proposes a new authentication mechanism using keystroke dynamics. The dataset which is used in this research consists of 71 features for 42 users with 2142 records. The proposed method consists of two stages; firstly, applying some statistical methods on the 71 features in order to result with valuable new features, then the second stage is to use the existing features with the resulted features with the Random Forest machine learning algorithm. Experimental results showed an accuracy of 94.26%.

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Cited By

Ayeswarya SSingh K(2024)A Comprehensive Review on Secure Biometric-Based Continuous Authentication and User ProfilingIEEE Access10.1109/ACCESS.2024.341178312(82996-83021)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3411783
Kokal SVanamala MDave R(2023)Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile AuthenticationJournal of Cybersecurity and Privacy10.3390/jcp30200133:2(227-258)Online publication date: 13-Jun-2023
https://doi.org/10.3390/jcp3020013
Yi XZhang SPan ZShi LHan FKong YLi HShi Y(2023)Squeez’In: Private Authentication on Smartphones based on Squeezing GesturesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581419(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581419
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DATA '19: Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems

December 2019

376 pages

ISBN:9781450372848

DOI:10.1145/3368691

Conference Chair:
Imad Hoballah
AUD, UAE
,
Organizing Chair:
Hassan Zeineddine
AUD, UAE
,
Program Chairs:
Shadi A. Aljawarneh
JUST, Jordan
,
Juan. A. Lara
UDIMA, Spain

Copyright © 2019 ACM.

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Association for Computing Machinery

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Published: 02 December 2019

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DATA'19

DATA'19: International Conference on Data Science, E-learning and Information Systems 2019, Sponsored by UAE ACM Chapter

December 2 - 5, 2019

Dubai, United Arab Emirates

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Cited By

Ayeswarya SSingh K(2024)A Comprehensive Review on Secure Biometric-Based Continuous Authentication and User ProfilingIEEE Access10.1109/ACCESS.2024.341178312(82996-83021)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3411783
Kokal SVanamala MDave R(2023)Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile AuthenticationJournal of Cybersecurity and Privacy10.3390/jcp30200133:2(227-258)Online publication date: 13-Jun-2023
https://doi.org/10.3390/jcp3020013
Yi XZhang SPan ZShi LHan FKong YLi HShi Y(2023)Squeez’In: Private Authentication on Smartphones based on Squeezing GesturesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581419(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581419
Ning ECladek ARoss MKabir SBarve AKennelly EHussain FDuffecy JLangenecker SNguyen TTulabandhula TZulueta JAjilore ODemos ALeow A(2023)Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain HealthProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580906(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580906
Khalil UMalik OUddin MChen C(2022)A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research DirectionsSensors10.3390/s2214516822:14(5168)Online publication date: 10-Jul-2022
https://doi.org/10.3390/s22145168
Roy SPradhan JKumar AAdhikary DRoy USinha DPal R(2022)A Systematic Literature Review on Latest Keystroke Dynamics Based ModelsIEEE Access10.1109/ACCESS.2022.319775610(92192-92236)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3197756
Rayani PChangder S(2022)Continuous user authentication on smartphone via behavioral biometrics: a surveyMultimedia Tools and Applications10.1007/s11042-022-13245-982:2(1633-1667)Online publication date: 9-Jun-2022
https://dl.acm.org/doi/10.1007/s11042-022-13245-9

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