2020
DOI: 10.1109/tvlsi.2020.3005413
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High-Throughput/Low-Energy MTJ-Based True Random Number Generator Using a Multi-Voltage/Current Converter

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Cited by 15 publications
(4 citation statements)
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“…Recently, various studies have demonstrated the inherent post‐process random behaviors in emerging memory devices could serve as excellent entropy sources for TRNGs, such as the stochastic formation of conductive filaments in resistive random access memory (RRAM), and chaotic magnetization phenomenon at the bifurcation point in Magnetic tunnel junction (MTJ). [ 4–13 ] However, some TRNGs are still in the early stage, that they typically rely on the stochastic distribution with a reference value and are vulnerable to the fluctuation of devices between cycle‐to‐cycle (C2C) and device‐to‐device (D2D). [ 14–16 ] The TRNGs thus must be specially calibrated before or even during use, which is inefficient and impractical.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, various studies have demonstrated the inherent post‐process random behaviors in emerging memory devices could serve as excellent entropy sources for TRNGs, such as the stochastic formation of conductive filaments in resistive random access memory (RRAM), and chaotic magnetization phenomenon at the bifurcation point in Magnetic tunnel junction (MTJ). [ 4–13 ] However, some TRNGs are still in the early stage, that they typically rely on the stochastic distribution with a reference value and are vulnerable to the fluctuation of devices between cycle‐to‐cycle (C2C) and device‐to‐device (D2D). [ 14–16 ] The TRNGs thus must be specially calibrated before or even during use, which is inefficient and impractical.…”
Section: Introductionmentioning
confidence: 99%
“…Conventionally, these devices are engineered to suppress the stochastic switching behavior as it poses reliability concerns and undeterministic behavior in memory applications. However, certain applications which demand stochastic behavior in their implementation, such as solvers for combinatorial optimization, stochastic neural networks etc., rely on true random number generators (TRNGs), which are extremely area-and power-expensive with CMOS circuits [15]- [17]. The stochastic behavior of MRAM devices leads to an efficient implementation of such TRNGs, and in this article, we briefly discuss the manifold applications which can be realized.…”
Section: Introductionmentioning
confidence: 99%
“…Spintronics devices offer several security aspects for applications in hardware security [3], [4], and other important applications [5], [6], [7]. MTJ is a widely investigated spintronic device and has been used for different hardware security primitives in recent research [8], [9], [10], [11], [12]. The use of emerging beyond CMOS devices for watermark generation currently needs to be well explored and thus provides many opportunities for utilizing the unique physical characteristic of such devices for generating watermark solutions.…”
mentioning
confidence: 99%