Authentication by Keystroke Dynamics: The Influence of Typing Language

• Published in: Applied sciences Vol. 13; no. 20; p. 11478
• Main Author: Altwaijry, Najwa
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2023
• Subjects: Algorithms; Arabic language; authentication; bilingual keystroke dynamics; Bilingualism; Biometrics; Classification; cybersecurity; Data encryption chips; Datasets; Keyboards; keystroke dynamics; Literature reviews; United Kingdom
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app132011478

Keystroke dynamics is a biometric method that uses a subject’s typing patterns for authentication or identification. In this paper we investigate typing language as a factor influencing an individual’s keystroke dynamics. Specifically, we discern whether keystroke dynamics is contingent on the spatial arrangement of letters on the keyboard, or alternatively, whether it is influenced by the linguistic characteristics inherent to the language being used. For this purpose, we construct a new dataset called the Bilingual Keystroke Dynamics Dataset in two languages: English and Arabic. The results show that the authentication system is not contingent on the spatial arrangement of the letters, and is primarily influenced by the language being used, and a system that is used by bilingual users must take into account that each user should have two profiles created, one for each language. An average equal error rate of 0.486% was achieved when enrolling in English and testing on Arabic, and 0.475% when enrolling in Arabic and testing on English.