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Enhancing Textual Password Authentication Using Typing Rhythm
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Author(s): Ferdinand Apietu Katsriku (University of Ghana, Ghana), Samuel Darko Abankwah (University of Ghana, Ghana), Edward Danso Ansong (University of Ghana, Ghana)and Winfred Yaokumah (University of Ghana, Ghana)
Copyright: 2025
Pages: 32
Source title:
Cryptography, Biometrics, and Anonymity in Cybersecurity Management
Source Author(s)/Editor(s): Mohammed Amin Almaiah (Department of Computer Science, The University of Jordan, Jordan)and Said Salloum (School of Science, Engineering, and Environment, University of Salford, UK)
DOI: 10.4018/979-8-3693-8014-7.ch011
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Abstract
This chapter aims to enhance the security of textual passwords by adding a new layer that involves an individual's typing rhythm without requiring additional devices. It discusses authentication methods and develops a textual password authentication system, which takes advantage of the fact that every user has a distinct way of typing. Twenty participants, including novice and expert users, assessed the proposed system. The measuring metrics used were the False Acceptance Rate (FAR) and False Rejection Rate (FRR). The flight time and typing rhythm were the biometric identification template. The results indicated low false rejection and acceptance rates, with the initial session registering 0.0 FRR and 0.1 FAR. Two weeks later, the second session recorded 0.25 FRR and 0.0 FAR. Using this model, users do not need to select a complex password they might forget. Instead, they can utilize a good rhythm different from their natural typing rhythm, making it challenging to guess.
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