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A Survey of Keystroke Dynamics Biometrics - PMC The literature study suggested that keystroke dynamics biometrics are unlikely to replace existing knowledge-based authentication entirely and it is also not robust enough to be a sole biometric authenticator
Keystroke dynamics as a biometric for authentication Biometrics are excellent candidates for identity verification because unlike keys or passwords, biometrics cannot be lost, stolen, or overheard, and in the absence of physical damage they offer a potentially foolproof way of determining someone’s identity
Keystroke Biometric Systems for User Authentication This work presented a comprehensive review of keystroke biometrics research and an overview of keystroke biometric systems, which can be used as a starting point newcomers to the field
Mobile keystroke dynamics for biometric recognition: An overview As already mentioned, recording KD also does not require the usage of any additional hardware, since the habitual typing rhythm of a person can be collected by simply using a keystroke logging software, capturing the timings associated with key-related interactions
Keystroke dynamics - Wikipedia Because of this inherent uncertainty, a commonly held belief is that behavioral biometrics are not as reliable as biometrics used for authentication based on physically observable characteristics such as fingerprints or retinal scans or DNA
A Survey on Keystroke Dynamics Biometrics: Approaches, Advances, and . . . We further address the evaluation of keystroke biometric systems, including traditional and new performance metrics, and list publicly available keystroke datasets for performance benchmarks to promote synergy in the research community
The Improved Biometric Identification of Keystroke Dynamics Based on . . . This article contributes to the advancement of biometric identification, shedding light on the untapped potential of keystroke dynamics and demonstrating the efficacy of deep learning in enhancing the precision and reliability of identification systems
Biometric Identification Based on Keystroke Dynamics - PMC The purpose of the paper is to study how changes in neural network architecture and its hyperparameters affect the results of biometric identification based on keystroke dynamics