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Provably-secure randomness generation from switching probability of magnetic tunnel junctions

Authors :
Ng, Hong Jie
Yang, Shuhan
Yao, Zhaoyang
Yang, Hyunsoo
Lim, Charles C. -W.
Source :
Phys. Rev. Appl., vol. 19, no. 3, p. 034077, Mar. 2023
Publication Year :
2022

Abstract

In recent years, true random number generators (TRNGs) based on magnetic tunnelling junction (MTJ) have become increasingly attractive. This is because MTJ-based TRNGs offer some advantages over traditional CMOS-based TRNGs, such as smaller area and simpler structure. However, there has been no work thus far that quantified the quality of the raw output of an MTJ-based TRNG and performed suitable randomness extraction to produce provably-secure random bits, unlike their CMOS-based counterparts. In this work, we implement an MTJ-based TRNG and characterise the entropy of the raw output. Using this information, we perform post-processing to extract a set of random bits which are provably-secure.<br />Comment: 6 pages, all comments are welcome

Details

Database :
arXiv
Journal :
Phys. Rev. Appl., vol. 19, no. 3, p. 034077, Mar. 2023
Publication Type :
Report
Accession number :
edsarx.2206.06636
Document Type :
Working Paper
Full Text :
https://doi.org/10.1103/PhysRevApplied.19.034077