2015•IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsRequires access
Modeling Random Telegraph Noise as a Randomness Source and its Application in True Random Number Generation
Xiaoming Chen, Lin Wang, Boxun Li, Yu Wang, Xin Li, Yongpan Liu, Huazhong Yang
Open publisher page 39 citations
Abstract
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.