Modeling Random Telegraph Noise as a Randomness Source and its Application in True Random Number Generation

Published

Journal Article

© 1982-2012 IEEE. The random telegraph noise (RTN) is becoming more serious in advanced technologies. Due to the unpredictability of the physical phenomenon, RTN is a good randomness source for true random number generators (TRNG). In this paper, we build fundamental randomness models for TRNGs based on single trap-and multiple traps-induced RTN. We theoretically derive the autocorrelation coefficient, bias, and bit rate for RTN-based TRNGs. Two representative RTN-based TRNG schemes are simulated to verify the proposed randomness models. An oscillator-based TRNG is also studied based on the theoretical randomness model of multiple traps-induced RTN. We also provide basic guidelines for designing RTN-based TRNGs.

Full Text

Duke Authors

Cited Authors

  • Chen, X; Wang, L; Li, B; Wang, Y; Li, X; Liu, Y; Yang, H

Published Date

  • September 1, 2016

Published In

Volume / Issue

  • 35 / 9

Start / End Page

  • 1435 - 1448

International Standard Serial Number (ISSN)

  • 0278-0070

Digital Object Identifier (DOI)

  • 10.1109/TCAD.2015.2511074

Citation Source

  • Scopus