Recently, more and more personal data breaches have been occurring. We have developed new hardware
a security device that can potentially protect data across industries and sectors.Saptarsh Das, Associate Professor, Department of Engineering Sciences and Mechanics
According to the researchers, the device was called PUF.or literally a physical, unclonable function that was first implemented on graphene. Graphene's physical and electrical properties, as well as the fabrication process, made PUF more energy efficient and resistant to AI attacks.
Researchers have produced nearly 2,000 identicalgraphene transistors that turn on and off the current in the circuit. Despite their structural similarities, the electrical conductivity of the transistors varied at random during the manufacturing process. While this variation is usually a disadvantage for electronic devices, it is, on the contrary, a plus for PUF.
To check the safety of a new development,Das and his team used machine learning, a technique that allows AI to study a system and find new patterns. Researchers trained AI using graphene PUF simulation data to test if AI could use this training to predict encrypted data and identify system vulnerabilities.
As a result, it turned out that AI cannot develop a model, as well as study the encryption process.
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