The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Power-Up SRAM State as an Identifying Fingerprint and Source of True Random Numbers
Abstract
Intermittently powered applications create a need for low-cost security and privacy in potentially hostile environments, supported by primitives including identification and random number generation. Our measurements show that power-up of SRAM produces a physical fingerprint. We propose a system of fingerprint extraction and random numbers in SRAM (FERNS) that harvests static identity and randomness from existing volatile CMOS memory without requiring any dedicated circuitry. The identity results from manufacture-time physically random device threshold voltage mismatch, and the random numbers result from runtime physically random noise. We use experimental data from high-performance SRAM chips and the embedded SRAM of the WISP UHF RFID tag to validate the principles behind FERNS. For the SRAM chip, we demonstrate that 8-byte fingerprints can uniquely identify circuits among a population of 5,120 instances and extrapolate that 24-byte fingerprints would uniquely identify all instances ever produced. Using a smaller population, we demonstrate similar identifying ability from the embedded SRAM. In addition to identification, we show that SRAM fingerprints capture noise, enabling true random number generation. We demonstrate that a 512-byte SRAM fingerprint contains sufficient entropy to generate 128-bit true random numbers and that the generated numbers pass the NIST tests for runs, approximate entropy, and block frequency.
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Bassham, L. E., Rukhin, A. L., Soto, J., Nechvatal, J. R., Smid, M. E., Barker, E. B., Leigh, S. D., Levenson, M., Vangel, M., Banks, D. L., et al. (2010) · NIST Special Publication 800-22 Revision 1a · doi:10.6028/nist.sp.800-22r1a · Cited by 3,617 · cited 1×
“While min-entropy is intended as the primary assurance of randomness for the extracted bits, these bits are also tested using the runs, approximate entropy, and block frequency tests from the NIST suite [37].”
Thermal Agitation of Electricity in Conductors
Johnson, J. B. (1928) · Physical Review · doi:10.1103/physrev.32.97 · Cited by 1,811
True Random Number Generator With a Metastability-Based Quality Control
Tokunaga, C., Blaauw, D., & Mudge, T. (2008) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2007.910965 · Cited by 172
Cited by
Memory devices and applications for in-memory computing
Sebastian, A., Le Gallo, M., Khaddam-Aljameh, R., & Eleftheriou, E. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0655-z · Cited by 2,289
Physical Unclonable Functions and Applications: A Tutorial
Herder, C., Yu, M.-D., Koushanfar, F., & Devadas, S. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2320516 · Cited by 1,357
A Primer on Hardware Security: Models, Methods, and Metrics
Rostami, M., Koushanfar, F., & Karri, R. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2335155 · Cited by 658
Counterfeit Integrated Circuits: A Rising Threat in the Global Semiconductor Supply Chain
Guin, U., Huang, K., DiMase, D., Carulli, J. M., Tehranipoor, M., & Makris, Y. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2332291 · Cited by 561
Physically Unclonable Functions: A Study on the State of the Art and Future Research Directions
Maes, R., & Verbauwhede, I. (2010) · Information Security and Cryptography · doi:10.1007/978-3-642-14452-3_1 · Cited by 469
Metadata
- Authors
- Holcomb, D. E., Burleson, W. P., & Fu, K.
- Venue
- IEEE Transactions on Computers
- Published
- 2009-09
- Volume
- 58
- Issue
- 9
- Pages
- 1198-1210
- ISSN
- 0018-9340 (ISSN-L)
- OpenAlex
- W2113322447
- Cited by
- 841
- References
- 3
- FWCI
- 35.19
- Type
- journal article
- Language
- en
- Open access
- closed
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