Title: A unique approach towards keystroke dynamics-based entry-point user access control

Authors: Soumen Roy; Devadatta Sinha; Rajat Kumar Pal; Utpal Roy

Addresses: Department of Computer Science and Engineering, University of Calcutta, Acharya Prafulla Chandra Roy Siksha Prangan, JD-2, Sector – III, Saltlake City, Kolkata – 700106, India ' Department of Computer Science and Engineering, University of Calcutta, Acharya Prafulla Chandra Roy Siksha Prangan, JD-2, Sector – III, Saltlake City, Kolkata – 700106, India ' Department of Computer Science and Engineering, University of Calcutta, Acharya Prafulla Chandra Roy Siksha Prangan, JD-2, Sector – III, Saltlake City, Kolkata – 700106, India ' Department of Computer and System Sciences, Visva-Bharati University, Santiniketan – 731235, India

Abstract: Access control is an essential security service for computing devices, applications, and information. Among the different entry-point user access controls, keystroke dynamics (KDs) has gained popularity owing to its several merits, such as low cost, ease of usage, etc. In this study, we proposed a unique distance-based anomaly detector together with an appropriate template construction method leading to more realistic and accurate results. We validated our approach with ten standard datasets and compared the performance with 50 state-of-the-art anomaly detectors. In our consideration, recent anomaly detectors have been re-evaluated in the same experimental setting for sound comparison. An analysis of variance (ANOVA) was conducted to compare the performance of our approach to those detectors in both desktops and recent smartphones. This study provides an in-depth understanding of each detector's performance which will aid in the design of efficient KD-based access control in the next generation of smart devices and applications.

Keywords: access control; anomaly detection; keystroke dynamics; static authentication; template formation; template adaptation; touch dynamics; user authentication.

DOI: 10.1504/IJBM.2024.137082

International Journal of Biometrics, 2024 Vol.16 No.2, pp.133 - 157

Received: 17 Jun 2022
Accepted: 10 Sep 2022
Published online: 01 Mar 2024 *

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