Information security of biometric identification methods
Huttunen, Johanna (2024)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024113031534
https://urn.fi/URN:NBN:fi:amk-2024113031534
Tiivistelmä
This thesis looked at the safety and reliability of biometric authentication systems in today’s world. It was done as a literature review. The research brought together past studies to give a clear understanding of what is currently known, what is missing, and what needs to be studied further.
The thesis explained how biometric technology works, with a focus on fingerprint and facial recognition systems. It described how these systems measure unique features to identify people. It also introduces basic ideas about pattern recognition and machine learning. The study talked about the problems biometric systems face, such as false matches, false rejections and attacks that can compromise their security.
Finally, the thesis looked at how artificial intelligence is changing biometric technologies. It explained both the risks and benefits AI brings to these systems. This research gave a simple but complete view of the current situation and the future of biometric authentication in a digital world.
The thesis explained how biometric technology works, with a focus on fingerprint and facial recognition systems. It described how these systems measure unique features to identify people. It also introduces basic ideas about pattern recognition and machine learning. The study talked about the problems biometric systems face, such as false matches, false rejections and attacks that can compromise their security.
Finally, the thesis looked at how artificial intelligence is changing biometric technologies. It explained both the risks and benefits AI brings to these systems. This research gave a simple but complete view of the current situation and the future of biometric authentication in a digital world.