Mobile keystroke dynamics for biometric recognition: An overview. Issue 1 (19th December 2020)

• Record Type: Journal Article
• Authors: Maiorana, Emanuele; Kalita, Himanka; Campisi, Patrizio
• Is Part Of: IET biometrics. Volume 10:Issue 1(2021)
• Page Start: 1
• Page End: 23
• Publication Date: 2020-12-19
• Subjects: Biometric identification -- Periodicals; 570.15195
• DOI: 10.1049/bme2.12003
• Languages: English
• ISSNs: 2047-4938

Abstract

Abstract: In the relatively recent past, the analysis of keystroke dynamics for biometric recognition purposes has intrigued researchers, since practical evidences have shown differences in the typing behaviours of distinct subjects. This area of research has become even more appealing since the emergence and evolution of mobile smartphones, given their pervasiveness and intensive use in real‐life applications. In addition, unlike hard keyboards used with computers, mobile smartphones offer the possibility of exploiting embedded sensors to augment the information acquired when typing on their soft keyboards. This study discusses the state of the art of keystroke‐dynamics‐based automatic recognition system, exclusively when dealing with mobile devices, for both verification and identification purposes. In more details, the databases employed, the features selected, the methodologies implemented, and the performance achieved through the technological advances introduced in the last years, are here overviewed.