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A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics

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A Peripheral-Free True Random Number Generator Based on Integrated Circuits Enabled by Atomically Thin

Harikrishnan Ravichandran¹, Dipanjan Sen¹, Akshay Wali²

¹Engineering Science and Mechanics, Pennsylvania State University, University Park, Pennsylvania 16802, United States.

|August 24, 2023

Summary

This summary is machine-generated.

This study presents a novel peripheral-free true random number generator (TRNG) for IoT security. It uses molybdenum disulfide transistors to create unpredictable random bits with low power consumption.

Keywords:

2D materials Charge trapping and detrapping Field effect transistors Hardware security Integrated circuits Peripheral-free Random numbers

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Area of Science:

Materials Science
Electrical Engineering
Computer Science

Background:

True random number generators (TRNGs) are critical for Internet of Things (IoT) security.
Pseudorandom number generators (PRNGs) have limitations due to their deterministic nature.
Hardware-based TRNGs offer enhanced reliability through physical unpredictability.

Purpose of the Study:

To demonstrate a peripheral-free TRNG for secure IoT edge devices.
To leverage stochastic phenomena in 2D materials for random bit generation.
To develop a low-power, high-performance TRNG solution.

Main Methods:

Utilized two cascaded three-stage inverters (TSIs) and an XOR gate.
Employed monolayer molybdenum disulfide (MoS2) field-effect transistors (FETs).
Exploited charge trapping/detrapping at the MoS2/dielectric interface as the entropy source.

Main Results:

The entropy source passed NIST SP800-90B tests (min normalized entropy 0.8780).
Generated bits passed NIST SP800-22 randomness tests without postprocessing.
Achieved low energy consumption (30 pJ/bit) with resilience to ML attacks, temperature, and voltage variations.

Conclusions:

The developed MoS2-based TRNG is a viable, peripheral-free alternative to conventional TRNGs.
Atomically thin 2D materials offer significant potential for low-power TRNGs.
The TRNG provides high security and robustness for IoT applications.