Work

Identifying a person using dynamic biometric authentication methods

Year: 2025

Type: article

Abstract: Biometric methods are aimed at identifying a person based on their unique characteristics. The article considers keyboard handwriting as a dynamic biometric characteristic. The features necessary for identification are analyzed and selected. The algorithm for generating a keystroke dynamics pattern is based on recording time parameters. Classical statistical approaches to identifying users based on keystroke dynamics are considered. To solve the identification problem, it is proposed to use a client-server application, its characteristics are given, tests are conducted, and the results are analyzed.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15071131

Authors: Makhamadaziz Rasulmukhamedov, Nuraddin Gafforov, Johongir Urinboev

Institutions: Tashkent State Transport University, Artificial Intelligence Research Institute

Language: English

Topic: User Authentication and Security Systems

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6893269287

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