Analyzing the Effectiveness of Touch Keystroke Dynamic Authentication for the Arabic Language

Author:

Alsuhibany Suliman A.1ORCID,Almuqbil Afnan S.1ORCID

Affiliation:

1. Department of Computer Science, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia

Abstract

The keystroke dynamic authentication (KDA) technique was proposed in the literature to develop a more effective authentication technique than traditional methods. KDA analyzes the rhythmic typing of the owner on a keypad or keyboard as a source of verification. In this study, we extend the findings of the system by analyzing the existing literature and validating its effectiveness in Arabic. In particular, we examined the effectiveness of the KDA system in Arabic for touchscreen-based digital devices using two KDA classes: fixed and free text. To this end, a KDA system was developed and applied to a selected device operating on the Android platform, and various classification methods were used to assess the similarity between log-in and enrolment sessions. The developed system was experimentally evaluated. The results showed that using Arabic KDA on touchscreen devices is possible and can enhance security. It attains a higher accuracy with average equal error rates of 0.0% and 0.08% by using the free text and fixed text classes, respectively, implying that free text is more secure than fixed text.

Funder

Qassim University

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference43 articles.

1. Number of smartphone users in the U.S. 2010-2023

2. Smartphone users in South Korea 2015-2025

3. Cybersecurity statistics report

4. Development of Android malware worldwide 2016-2020

5. Distribution of Android malware 2019

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