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 proceedingConference contribution

4 Citations (Scopus)

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 languageEnglish (US)
Title of host publicationGLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI
PublisherAssociation for Computing Machinery
Pages299-304
Number of pages6
Volume18-20-May-2016
ISBN (Electronic)9781450342742
DOIs
StatePublished - May 18 2016
Event26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016 - Boston, United States
Duration: May 18 2016May 20 2016

Other

Other26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016
CountryUnited States
CityBoston
Period5/18/165/20/16

Fingerprint

Data storage equipment
Telegraph
Entropy
Silicon
RRAM
Hardware security

Keywords

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

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Karam, R., Liu, R., Chen, P. Y., 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, pp. 299-304). Association for Computing Machinery. https://doi.org/10.1145/2902961.2903042

Security primitive design with nanoscale devices : A case study with resistive RAM. / Karam, Robert; Liu, Rui; Chen, Pai Yu; Yu, Shimeng; Bhunia, Swarup.

GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI. Vol. 18-20-May-2016 Association for Computing Machinery, 2016. p. 299-304.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Karam R, Liu R, Chen PY, Yu S, Bhunia S. 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. 2016. p. 299-304 https://doi.org/10.1145/2902961.2903042
Karam, Robert ; Liu, Rui ; Chen, Pai Yu ; Yu, Shimeng ; Bhunia, Swarup. / Security primitive design with nanoscale devices : A case study with resistive RAM. GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI. Vol. 18-20-May-2016 Association for Computing Machinery, 2016. pp. 299-304
@inproceedings{f502a1dce8034e678513adf4294c2c6a,
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",
year = "2016",
month = "5",
day = "18",
doi = "10.1145/2902961.2903042",
language = "English (US)",
volume = "18-20-May-2016",
pages = "299--304",
booktitle = "GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI",
publisher = "Association for Computing Machinery",

}

TY - GEN

T1 - Security primitive design with nanoscale devices

T2 - A case study with resistive RAM

AU - Karam, Robert

AU - Liu, Rui

AU - Chen, Pai Yu

AU - Yu, Shimeng

AU - Bhunia, Swarup

PY - 2016/5/18

Y1 - 2016/5/18

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

UR - http://www.scopus.com/inward/record.url?scp=84974715629&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84974715629&partnerID=8YFLogxK

U2 - 10.1145/2902961.2903042

DO - 10.1145/2902961.2903042

M3 - Conference contribution

VL - 18-20-May-2016

SP - 299

EP - 304

BT - GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI

PB - Association for Computing Machinery

ER -