Metastability-Induced TRNG Architecture on FPGA
| Autor: | Moorthi Paramasivam Vijaya Annamalai, Amirtharajan Rengarajan, Sivaraman R, Sundararaman Rajagopalan, A. Sridevi, John Bosco Balaguru Rayappan |
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| Rok vydání: | 2019 |
| Předmět: |
Key generation
Cryptographic primitive Computer Networks and Communications Random number generation business.industry Computer science Energy Engineering and Power Technology Hamming distance Cryptography Embedded system Signal Processing NIST Computer Vision and Pattern Recognition Electrical and Electronic Engineering business Field-programmable gate array Randomness |
| Zdroj: | Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 44:47-57 |
| ISSN: | 2364-1827 2228-6179 |
| DOI: | 10.1007/s40998-019-00234-2 |
| Popis: | Due to the emerging high-speed digital infrastructure, the protection of data being shared throughout the open networks has been a challenging task. By large, the dependency on cryptographic primitives exists to encounter cyberspace challenges. Key generation is a core process of any cryptographic application which improvises the strength of the algorithm. Reconfigurable hardware-assisted true random number generators (TRNGs) play a crucial role in key generation to provide high-speed cryptographic solutions. In this work, metastability-influenced TRNG architecture on Altera Cyclone II EP2C20F484C7 FPGA has been proposed. The 256 units of SR latches with de-synchronisation technique were the prime source used to harvest the true randomness. TRNG design consumed 1851 logic elements with a dynamic power dissipation of 4.41 mW. Proposed architecture achieves a high throughput of 26.64065 Mbps using 27 MHz onboard sampling clock. This TRNG has been validated through entropy, correlation, NIST SP 800-22 batteries of test, linear complexity test, restart experiment and hamming distance analysis. |
| Databáze: | OpenAIRE |
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