| Title | An ADC Based Random Number Generator from a Discrete Time Chaotic Map |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Ergün, Salih, Maden, Fatih |
| Conference Name | 2021 26th IEEE Asia-Pacific Conference on Communications (APCC) |
| Date Published | oct |
| Keywords | analog to digital converter, Bernoilli shift, Capacitors, chaotic communication, chaotic cryptography, discrete time chaotic map, Metrics, NIST, Power demand, pubcrawl, random number generators, resilience, Resiliency, Scalability, Sensitivity, Throughput, Voltage |
| Abstract | This paper introduces a robust random number generator that based on Bernoulli discrete chaotic map. An eight bit SAR ADC is used with discrete time chaotic map to generate random bit sequences. Compared to RNGs that use the continuous time chaotic map, sensitivity to process, voltage and temperature (PVT) variations are reduced. Thanks to utilizing switch capacitor circuits to implement Bernoulli chaotic map equations, power consumption decreased significantly. Proposed design that has a throughput of 500 Kbit/second is implemented in TSMC 180 nm process technology. Generated bit sequences has successfully passed all four primary tests of FIPS-140-2 test suite and all tests of NIST 820-22 test suite without post processing. Furthermore, data rate can be increased by sacrificing power consumption. Hence, proposed architecture could be utilized in high speed cryptography applications. |
| DOI | 10.1109/APCC49754.2021.9609860 |
| Citation Key | ergun_adc_2021 |
An ADC Based Random Number Generator from a Discrete Time Chaotic Map