Indian Institute of Science team has developed a “record-breaking” True Random Number Generator (TRNG), which can improve data encryption and provide better protection for sensitive digital data such as credit card details, passwords and other personal information. Can do. The study describing the device has been published in the Bengaluru-based IISc journal ‘ACS Nano’, a press release said on Friday.
“Everything we do on the Internet is encrypted for security. The power of this encoding The random number depends on the quality of the generation,” says Nitin Abraham, PhD student in the Department of Electrical Communication Engineering (ECE), IISc,
Abraham is part of the IISc team led by Kaushik Majumdar, Associate Professor at ECE.
Encrypted information can only be decoded by authorized users who have a . have access to cryptographic “key”. But the key has to be unpredictable and, therefore, must be randomly generated to resist hacking.
Cryptographic keys are typically generated in computers using pseudorandom number generators (PRNGs), which rely on mathematical formulas or pre-programmed tables that appear random but are not.
In contrast, a TRNG naturally extracts random numbers from random physical processes, making it more secure.
In IISc’s “breakthrough” TRNG instrument, random numbers are generated using the random motion of electrons.
It consists of an artificial electron trap constructed by stacking atom-thin layers of materials such as black phosphorus and graphene. The current measured from the device increases when an electron is trapped, and decreases when it is released. Since electrons move randomly in and out of the trap, the measured current also changes randomly. The statement says that the timing of this change determines the random number generated.
“You cannot predict exactly at what time the electron will enter the trap. Therefore, there is an inherent randomness that is inherent in this process,” explains Mazumdar.
Device performance on US-designed standard tests for cryptographic applications National Institute of Standards and Technology (NIST) has exceeded Mazumdar’s own expectations.
“When the idea first struck me, I knew it would be a good random number generator, but I didn’t expect it to have record-high minimum-entropy,” he says.
Min-entropy is a parameter used to measure the performance of a TRNG. Its value ranges from zero (completely predictable) to one (completely random). Mazumdar’s laboratory instrument showed a record-high minimum-entropy of 0.98, a significant improvement over previously reported values, which were approximately 0.89.
“We have the highest reported min-entropy among TRNGs to date,” says Abraham. The team’s electronic TRNG is more compact than its clunkier counterparts based on optical phenomena.
“Since our device is completely electronic, millions of such devices can be built on a single chip,” Mazumdar says.
He and his group plan to make this device faster and develop a new manufacturing process that will enable mass production of these chips.