END-TRUE: Emerging Nanotechnology-Based Double-Throughput True Random Number Generator
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
True Random Number Generators (TRNGs) are essential primitives in any cryptographic system. They provide the foundation to secure authorization and authentication. This work proposes a generator that exploits the metastability effect of cross-coupled logic gates, as found in SR latches. Based on emerging reconfigurable transistor technology, a random number generator design has been proposed that doubles the throughput, compared to a similar standard CMOS design, by exploiting transistor-level reconfiguration. The proposed design is superior in terms of the number of transistors per block, power consumption and in critical path delay with respect to its CMOS counterpart. Random Number bit sequence are generated by operating the given design at three operating frequencies of 10 MHz, 100 MHz and 200 MHz. Firstly, the Shannon entropy for the generated bit sequence is measured, and then the generated bit sequence are subjected to statistical evaluation using the NIST benchmark suite. The P′ values for the NIST benchmarks is above the accepted threshold, which underlines the assumption that the designed circuit produces the random numbers based on the metastability effect.
Details
Original language | English |
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Title of host publication | VLSI-SoC |
Editors | Victor Grimblatt, Chip Hong Chang, Anupam Chattopadhyay, Ricardo Reis, Andrea Calimera |
Publisher | Springer Science and Business Media B.V. |
Pages | 175-203 |
Number of pages | 29 |
ISBN (print) | 9783031168178 |
Publication status | Published - 2022 |
Peer-reviewed | Yes |
Publication series
Series | IFIP Advances in Information and Communication Technology |
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Volume | 661 IFIP |
ISSN | 1868-4238 |
Conference
Title | 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration |
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Abbreviated title | VLSI-SoC 2021 |
Conference number | 29 |
Duration | 4 - 8 October 2021 |
Location | online |
City | Singapore |
Country | Singapore |
External IDs
ORCID | /0000-0003-3814-0378/work/142256247 |
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Keywords
ASJC Scopus subject areas
Keywords
- Metastability, NIST benchmark suite, Reconfigurable field effect transistor (RFET), True Random Number Generator (TRNG), Von-Neumann extraction