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 Yan Li, Yongpan Liu, Huazhong Yang · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2015
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.