A module for identifying users by their unique keystroke dynamics has been created at the Russian Technological University (RTU) MIREA. The development aims to improve the level of security of access to information systems of enterprises.
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Traditional authentication methods (passwords) are often vulnerable to attackers. The new module offers a reliable alternative, protecting against unauthorized access without the need for additional equipment.
The system analyzes the characteristics of typing on the keyboard (speed, typing dynamics, and frequency of errors when entering). Based on this information, the module creates a unique vector of characteristics for each user and compares it with a template in the database. If the parameters match, authorization is successful. The system also automatically updates templates, adapting to changes in user behavior.
Researchers plan to further study the influence of a person's physical condition on their keystroke dynamics. This will make the system even more accurate and adaptive.
Earlier www1.ru reported that Russian scientists learned how to identify people by electroencephalogram.
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