Keystroke Dynamics-Based Authentication System Using Empirical Thresholding Algorithm

Priya C. V. and K. S. Angel Viji
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Priya C. V.: Noorul Islam Centre for Higher Education, India
K. S. Angel Viji: College of Engineering, Kottayam, India

International Journal of Information Security and Privacy (IJISP), 2021, vol. 15, issue 4, 98-117

Abstract: In a password-based authentication technique, whenever the typed password and username matches the system database, the secure login page allows the client to access it. Despite the password matching, the proposed method checks the similarity between the typing rhythm of entered password and the rhythm of password samples in client's database. In this paper, a novel algorithmic procedure is presented to authenticate the legal client based on empirical threshold values obtained from the timing information of the client's keystroke dynamics. The exploratory outcomes demonstrate an impressive diminish in both false rejection rate and false acceptance rate. Equal error rate and authentication accuracy are also assessed to show the superiority and robustness of the method. Therefore, the proposed keystroke dynamics-based authentication method can be valuable in securing the system protection as a correlative or substitute form of client validation and as a useful resource for identifying the illegal invasion.

Date: 2021
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International Journal of Information Security and Privacy (IJISP) is currently edited by Yassine Maleh

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