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User Interface-Based Repeated Sequence Detection Method for Authentication

Shin Jin Kang1, Soo Kyun Kim2,*

1 School of Games, Hongik University, Sejong, 30016, Korea
2 Department of Computer Engineering, Jeju National University, Jeju, 63243, Korea

* Corresponding Author: Soo Kyun Kim. Email: email

Intelligent Automation & Soft Computing 2023, 35(3), 2573-2588. https://doi.org/10.32604/iasc.2023.029893

Abstract

In this paper, we propose an authentication method that use mouse and keystroke dynamics to enhance online privacy and security. The proposed method identifies personalized repeated user interface (UI) sequences by analyzing mouse and keyboard data. To this end, an Apriori algorithm based on the keystroke-level model (KLM) of the human–computer interface domain was used. The proposed system can detect repeated UI sequences based on KLM for authentication in the software. The effectiveness of the proposed method is verified through access testing using commercial applications that require intensive UI interactions. The results show using our cognitive mouse-and-keystroke dynamics system can complement authentication at the application level.

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Cite This Article

APA Style
Kang, S.J., Kim, S.K. (2023). User interface-based repeated sequence detection method for authentication. Intelligent Automation & Soft Computing, 35(3), 2573-2588. https://doi.org/10.32604/iasc.2023.029893
Vancouver Style
Kang SJ, Kim SK. User interface-based repeated sequence detection method for authentication. Intell Automat Soft Comput . 2023;35(3):2573-2588 https://doi.org/10.32604/iasc.2023.029893
IEEE Style
S.J. Kang and S.K. Kim, "User Interface-Based Repeated Sequence Detection Method for Authentication," Intell. Automat. Soft Comput. , vol. 35, no. 3, pp. 2573-2588. 2023. https://doi.org/10.32604/iasc.2023.029893



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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