Security News > 2022 > June > Using the random motion of electrons to improve cybersecurity

Abraham is a part of a team led by Kausik Majumdar, Associate Professor at ECE, which has developed a true random number generator, which can improve data encryption and provide better security for sensitive digital data such as credit card details, passwords and other personal information.

Cryptographic keys are typically generated in computers using pseudorandom number generators, which rely on mathematical formulae or pre-programmed tables to produce numbers that appear random but are not.

In contrast, a TRNG extracts random numbers from inherently random physical processes, making it more secure.

In IISc's TRNG device, random numbers are generated using the random motion of electrons.

Since electrons move in and out of the trap in a random manner, the measured current also changes randomly.

The timing of this change determines the generated random number.

News URL

https://www.helpnetsecurity.com/2022/06/10/random-number-generator-security/