Security News > 2021 > May > Researchers design a way to make encrypted keys harder to crack

As more private data is stored and shared digitally, researchers are exploring new ways to protect data against attacks from bad actors.

Current silicon technology exploits microscopic differences between computing components to create secure keys, but AI techniques can be used to predict these keys and gain access to data.

Now, Penn State researchers have designed a way to make the encrypted keys harder to crack.

The device, called a physically unclonable function, is the first demonstration of a graphene-based PUF, according to the researchers.

After the graphene transistors were implemented into PUFs, the researchers modeled their characteristics to create a simulation of 64 million graphene-based PUFs.

The researchers trained the AI with the graphene PUF simulation data, testing to see if the AI could use this training to make predictions about the encrypted data and reveal system insecurities.

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