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Article Dans Une Revue IEEE Transactions on Nanotechnology Année : 2020

True Random Number Generator Integration in a Resistive RAM Memory Array Using Input Current Limitation

Résumé

A novel True Random Number Generator circuit fabricated in a 130nm HfO2-based resistive RAM process is presented. The generation of the random bit stream is based on a specific programming sequence applied to a dedicated memory array. In the proposed programming scheme, all the cells of the memory array are addressed at the same time while the current provided to the circuit is limited to program only a subset of the memory array, resulting in a stochastic distribution of cell resistance values. Some cells are switched in a low resistive state, other cells are slightly programmed to reach an intermediate resistance state, while the remaining cells maintain their initial high resistance state. Resistance values are next converted into a bit stream and confronted to National Institute of Standards and Technology (NIST) test benchmarks. The generated random bit stream has successfully passed twelve NIST tests out of fifteen. Compared to state-of-the-art resistive RAM-based true random number generators, our proposed methodology is the first one to leverage on programming current limitation at a memory array level.
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Dates et versions

hal-03504843 , version 1 (29-12-2021)

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Hassen Aziza, Jeremy Postel-Pellerin, Hussein Bazzi, Pierre Canet, Mathieu Moreau, et al.. True Random Number Generator Integration in a Resistive RAM Memory Array Using Input Current Limitation. IEEE Transactions on Nanotechnology, 2020, 19, pp.214-222. ⟨10.1109/TNANO.2020.2976735⟩. ⟨hal-03504843⟩
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