Artificial Intelligence and Keystroke Dynamics: The Mysterious World of Personal Signatures
Büşra Tural, Zeynep Örpek, Samet Özmen · 2024
Today, authentication has become an important issue in the digital world. Protecting personal data and sensitive information through online transactions requires a more secure authentication process. Since traditional password-based authentication methods are insufficient at these stages, more secure alternatives are sought. At this point, biometric authentication systems play an important role. Biometric features such as fingerprint, facial recognition, and voice recognition are used to verify people’s identities based on their unique physical characteristics. One of the methods used for biometric authentication is keyboard dynamics technology. Keyboard dynamics aims to verify people’s identities by analyzing their keyboard usage habits. Each leaves a unique signature in the way he presses the keys on the keyboard, the speed of the press, the duration of the press, etc., and these features can be used for personal authentication. Artificial intelligence plays an important role in analyzing and processing biometric data such as keystroke dynamics. With artificial intelligence algorithms, it can detect changes in users' keystroke dynamics and detect potential threats in advance. There are also some challenges in using keystroke dynamics and artificial intelligence. In particular, users' keystroke dynamics characteristics need to be securely stored, processed and continually improved to increase accuracy rates and reduce false results. In this study, research conducted using keystroke dynamics and artificial intelligence technologies together is discussed, and the importance and potential of these technologies in the field of digital security are emphasized.