Security primitive design with nanoscale devices: A case study with resistive RAM

Robert Karam; Rui Liu; Pai Yu Chen; Shimeng Yu; Swarup Bhunia

doi:10.1145/2902961.2903042

Security primitive design with nanoscale devices: A case study with resistive RAM

Robert Karam, Rui Liu, Pai Yu Chen, Shimeng Yu, Swarup Bhunia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

Inherent stochastic physical mechanisms in emerging nonvolatile memories (NVMs), such as resistive random-access-memory (RRAM), have recently been explored for hardware security applications. Unlike the conventional silicon Physical Unclonable Functions (PUFs) that are solely based on manufacturing process variation, RRAM has some intrinsic randomness in its physical mechanisms that can be utilized as entropy sources; for instance, resistance variation, random telegraph noise, and probabilistic switching behaviors. This paper reviews the challenges and opportunities in building security primitives with emerging devices. In particular, it presents research progress of RRAM-based hardware security primitives, including PUF and True Random Number Generator (TRNG).

Original language	English (US)
Title of host publication	GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI
Publisher	Association for Computing Machinery
Pages	299-304
Number of pages	6
Volume	18-20-May-2016
ISBN (Electronic)	9781450342742
DOIs	https://doi.org/10.1145/2902961.2903042
State	Published - May 18 2016
Event	26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016 - Boston, United States Duration: May 18 2016 → May 20 2016

Other

Other	26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016
Country/Territory	United States
City	Boston
Period	5/18/16 → 5/20/16

Keywords

Hardware security
PUF
Resistance variation
RRAM
Security of nanoscale devices
Switching probability
TRNG

ASJC Scopus subject areas

Engineering(all)

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10.1145/2902961.2903042

Cite this

Karam, R, Liu, R, Chen, PY, Yu, S & Bhunia, S 2016, Security primitive design with nanoscale devices: A case study with resistive RAM. in GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI. vol. 18-20-May-2016, Association for Computing Machinery, pp. 299-304, 26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016, Boston, United States, 5/18/16. https://doi.org/10.1145/2902961.2903042

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title = "Security primitive design with nanoscale devices: A case study with resistive RAM",

abstract = "Inherent stochastic physical mechanisms in emerging nonvolatile memories (NVMs), such as resistive random-access-memory (RRAM), have recently been explored for hardware security applications. Unlike the conventional silicon Physical Unclonable Functions (PUFs) that are solely based on manufacturing process variation, RRAM has some intrinsic randomness in its physical mechanisms that can be utilized as entropy sources; for instance, resistance variation, random telegraph noise, and probabilistic switching behaviors. This paper reviews the challenges and opportunities in building security primitives with emerging devices. In particular, it presents research progress of RRAM-based hardware security primitives, including PUF and True Random Number Generator (TRNG).",

keywords = "Hardware security, PUF, Resistance variation, RRAM, Security of nanoscale devices, Switching probability, TRNG",

author = "Robert Karam and Rui Liu and Chen, {Pai Yu} and Shimeng Yu and Swarup Bhunia",

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doi = "10.1145/2902961.2903042",

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AU - Bhunia, Swarup

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N2 - Inherent stochastic physical mechanisms in emerging nonvolatile memories (NVMs), such as resistive random-access-memory (RRAM), have recently been explored for hardware security applications. Unlike the conventional silicon Physical Unclonable Functions (PUFs) that are solely based on manufacturing process variation, RRAM has some intrinsic randomness in its physical mechanisms that can be utilized as entropy sources; for instance, resistance variation, random telegraph noise, and probabilistic switching behaviors. This paper reviews the challenges and opportunities in building security primitives with emerging devices. In particular, it presents research progress of RRAM-based hardware security primitives, including PUF and True Random Number Generator (TRNG).

AB - Inherent stochastic physical mechanisms in emerging nonvolatile memories (NVMs), such as resistive random-access-memory (RRAM), have recently been explored for hardware security applications. Unlike the conventional silicon Physical Unclonable Functions (PUFs) that are solely based on manufacturing process variation, RRAM has some intrinsic randomness in its physical mechanisms that can be utilized as entropy sources; for instance, resistance variation, random telegraph noise, and probabilistic switching behaviors. This paper reviews the challenges and opportunities in building security primitives with emerging devices. In particular, it presents research progress of RRAM-based hardware security primitives, including PUF and True Random Number Generator (TRNG).

KW - Hardware security

KW - PUF

KW - Resistance variation

KW - RRAM

KW - Security of nanoscale devices

KW - Switching probability

KW - TRNG

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Security primitive design with nanoscale devices: A case study with resistive RAM

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Keywords

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