RRAM random number generator based on train of pulses
In this paper, the modulation of the conductance levels of resistive random access memory (RRAM) devices is used for the generation of random numbers by applying a train of RESET pulses. The influence of the pulse amplitude and width on the device resistance is also analyzed. For each pulse characte...
| Autores: | , , , , , , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2021 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/355114 |
| Acesso em linha: | https://hdl.handle.net/2117/355114 https://dx.doi.org/10.3390/electronics10151831 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Computer security Computer storage devices RRAM Random number generator Hardware security TRNG NVM Seguretat informàtica Ordinadors -- Dispositius de memòria Memòria d'accés aleatori Àrees temàtiques de la UPC::Enginyeria electrònica Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica |
| Resumo: | In this paper, the modulation of the conductance levels of resistive random access memory (RRAM) devices is used for the generation of random numbers by applying a train of RESET pulses. The influence of the pulse amplitude and width on the device resistance is also analyzed. For each pulse characteristic, the number of pulses required to drive the device to a particular resistance threshold is variable, and it is exploited to extract random numbers. Based on this behavior, a random number generator (RNG) circuit is proposed. To assess the performance of the circuit, the National Institute of Standards and Technology (NIST) randomness tests are applied to evaluate the randomness of the bitstreams obtained. The experimental results show that four random bits are simultaneously obtained, passing all the applied tests without the need for post-processing. The presented method provides a new strategy to generate random numbers based on RRAMs for hardware security applications. |
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