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(2024-12) Tsvetkova, Anna D.; Bakhteev, Dmitriy V.
This article discusses the use of typing dynamics, or individual typing style, as a form of biometric identification. It is found that keystroke dynamics has great forensic identification potential, particularly in the detection and investigation of cybercrimes. The study examines different characteristics of keystroke dynamics, such as key press time and release latency, through an experiment that collects typing data from 9 students. The results suggest that, although keystroke dynamics can be influenced by factors such as keyboard type, a set of typing characteristics can be used to accurately identify individuals, paving the way for advancements in the forensic application of this technology.