Authentication of Systems Based on Behavioral Biometrics

• Lucas R. A. Corrêa INMETRO
• Agda B. G. Costa INMETRO
• Paulo Assumpção INMETRO / UFRJ
• Wilson S. Melo Jr INMETRO

DOI: https://doi.org/10.5753/sbseg_estendido.2024.243402

Abstract

The emergence of technological advancements demands increasingly sophisticated security methods to protect personal devices. The use of keystroke dynamics for biometric identification is promising but still underexplored, especially in multimodal biometric systems. In this work, we propose a method to monitor and analyze user interactions with their devices, extracting unique characteristics from keystrokes and using machine learning to verify the user’s identity. Our experiments with Random Forest, SVM, KNN, and Logistic Regression achieved accuracy rates above 99%.

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