The development of a robust and secure hardware for the Internet of Things (IoT) and edge computing requires improvements in the existing low-power and low-cost hardware security primitives. Among the various available technologies, true random number generators (TRNGs) that leverage random telegraph noise (RTN) from nanoelectronics devices have emerged as effective solutions. However, the temporal instabilities in the RTN signal, such as the DC drift and temporary inhibition, are a few of the key reliability challenges for the TRNG circuits. In this study, we have utilized experimental RTN data collected from the commonly used gate dielectrics, including silicon dioxide (SiO2), hafnium dioxide (HfO2), and 2D crystalline hexagonal boron nitride (h-BN) to identify the crucial reliability challenges for RTN-based TRNG circuits. We have analyzed the impact of RTN instabilities and of circuit parameters on the output randomness and propose reliability aware design guidelines. Finally, we design and simulate an RTN-based TRNG circuit using a 130 nm CMOS technology and evaluate its reliability at the circuit level.

Guidelines for the Design of Random Telegraph Noise-Based True Random Number Generators / Zanotti, T.; Ranjan, A.; O'Shea, S. J.; Raghavan, N.; Thamankar, R.; Pey, K. L.; Puglisi, F. M.. - In: IEEE TRANSACTIONS ON DEVICE AND MATERIALS RELIABILITY. - ISSN 1530-4388. - (2024), pp. 1-1. [10.1109/TDMR.2024.3394576]

Guidelines for the Design of Random Telegraph Noise-Based True Random Number Generators

Zanotti T.
;
Puglisi F. M.
2024

Abstract

The development of a robust and secure hardware for the Internet of Things (IoT) and edge computing requires improvements in the existing low-power and low-cost hardware security primitives. Among the various available technologies, true random number generators (TRNGs) that leverage random telegraph noise (RTN) from nanoelectronics devices have emerged as effective solutions. However, the temporal instabilities in the RTN signal, such as the DC drift and temporary inhibition, are a few of the key reliability challenges for the TRNG circuits. In this study, we have utilized experimental RTN data collected from the commonly used gate dielectrics, including silicon dioxide (SiO2), hafnium dioxide (HfO2), and 2D crystalline hexagonal boron nitride (h-BN) to identify the crucial reliability challenges for RTN-based TRNG circuits. We have analyzed the impact of RTN instabilities and of circuit parameters on the output randomness and propose reliability aware design guidelines. Finally, we design and simulate an RTN-based TRNG circuit using a 130 nm CMOS technology and evaluate its reliability at the circuit level.
2024
1
1
Guidelines for the Design of Random Telegraph Noise-Based True Random Number Generators / Zanotti, T.; Ranjan, A.; O'Shea, S. J.; Raghavan, N.; Thamankar, R.; Pey, K. L.; Puglisi, F. M.. - In: IEEE TRANSACTIONS ON DEVICE AND MATERIALS RELIABILITY. - ISSN 1530-4388. - (2024), pp. 1-1. [10.1109/TDMR.2024.3394576]
Zanotti, T.; Ranjan, A.; O'Shea, S. J.; Raghavan, N.; Thamankar, R.; Pey, K. L.; Puglisi, F. M.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1340287
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact