Efficient PRNG Design and Implementation for Various High Throughput Cryptographic and Low Power Security Applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F19%3A39915418" target="_blank" >RIV/00216275:25530/19:39915418 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/RADIOELEK.2019.8733468" target="_blank" >http://dx.doi.org/10.1109/RADIOELEK.2019.8733468</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/RADIOELEK.2019.8733468" target="_blank" >10.1109/RADIOELEK.2019.8733468</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Efficient PRNG Design and Implementation for Various High Throughput Cryptographic and Low Power Security Applications

Popis výsledku v původním jazyce

Pseudo-Random Number Generators (PRNGs) are an integral part of cryptographic applications, such as key generations, digital signatures, Internet-of-Things (IoT) security, etc. These applications require low-power and high-throughput PRNGs along with statistically secure random numbers capability. In this paper, we propose two PRNGs by combining/modifying Blum-Blum-Shub (BBS), Xorshift and Permuted Congruential PRNGs. The first one is for general purpose applications and the second one is for low-power IoT applications. We implement the proposed PRNGs on FPGA ZedBoard ZynqT. Our implementation results show that the proposed PRNGs generate 4:83 x 10(7) and 4:29 x 10(7) random numbers per-second, respectively. The total dynamic power consumption of the proposed PRNGs is 17mW at 48:31Mhz and 16mW at 42:90Mhz with a maximum throughput of 184:288MBps and 163:651MBps, respectively. We test the proposed PRNGs on Diehard battery suite and US National Institute of Standard and Technology (NIST) SP 800 - 22 suite for the analysis of randomness quality.

Název v anglickém jazyce

Efficient PRNG Design and Implementation for Various High Throughput Cryptographic and Low Power Security Applications

Popis výsledku anglicky

Pseudo-Random Number Generators (PRNGs) are an integral part of cryptographic applications, such as key generations, digital signatures, Internet-of-Things (IoT) security, etc. These applications require low-power and high-throughput PRNGs along with statistically secure random numbers capability. In this paper, we propose two PRNGs by combining/modifying Blum-Blum-Shub (BBS), Xorshift and Permuted Congruential PRNGs. The first one is for general purpose applications and the second one is for low-power IoT applications. We implement the proposed PRNGs on FPGA ZedBoard ZynqT. Our implementation results show that the proposed PRNGs generate 4:83 x 10(7) and 4:29 x 10(7) random numbers per-second, respectively. The total dynamic power consumption of the proposed PRNGs is 17mW at 48:31Mhz and 16mW at 42:90Mhz with a maximum throughput of 184:288MBps and 163:651MBps, respectively. We test the proposed PRNGs on Diehard battery suite and US National Institute of Standard and Technology (NIST) SP 800 - 22 suite for the analysis of randomness quality.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2019 29TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA)

ISBN

978-1-5386-9322-3

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

99-104

Název nakladatele

IEEE

Místo vydání

NEW YORK

Místo konání akce

Pardubice

Datum konání akce

16. 4. 2019

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000492026100016