| Title | Skew-Tent Map Based CMOS Random Number Generator with Chaotic Sampling |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Kızmaz, Muhammed Mustafa, Ergün, Salih |
| Conference Name | 2021 19th IEEE International New Circuits and Systems Conference (NEWCAS) |
| Keywords | Bit rate, chaotic cryptography, chaotic sampling, cryptography, discrete-time chaotic maps, Immunity testing, integrated circuit, Interference, Metrics, NIST, PL1D maps, Power demand, pubcrawl, random number generator, resilience, Resiliency, sampling methods, Scalability, Semiconductor device modeling, skew-tent map, switched-capacitor |
| Abstract | Random number generators (RNGs) has an extensive application area from cryptography to simulation software. Piecewise linear one-dimensional (PL1D) maps are commonly preferred structures used as the basis of RNGs due to their theoretically proven chaotic behavior and ease of implementation. In this work, a skew-tent map based RNG is designed by using the chaotic sampling method in TSMC 180 nm CMOS process. Simulation data of the designed RNG is validated by the statistical randomness tests of the FIPS-140-2 and NIST 800-22 suites. The proposed RNG has three key features: the generated bitstreams can fulfill the randomness tests without using any post processing methods; the proposed RNG has immunity against external interference thanks to the chaotic sampling method; and higher bitrates (4.8 Mbit/s) can be achieved with relatively low power consumption (9.8 mW). Thus, robust RNG systems can be built for high-speed security applications with low power by using the proposed architecture. |
| DOI | 10.1109/NEWCAS50681.2021.9462765 |
| Citation Key | kizmaz_skew-tent_2021 |
Skew-Tent Map Based CMOS Random Number Generator with Chaotic Sampling