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Physical unclonable functions for device authentication and secret key generation
Abstract
Physical Unclonable Functions (PUFs) are innovative circuit primitives that extract secrets from physical characteristics of integrated circuits (ICs). We present PUF designs that exploit inherent delay characteristics of wires and transistors that differ from chip to chip, and describe how PUFs can enable low-cost authentication of individual ICs and generate volatile secret keys for cryptographic operations.
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Citations
Cited by
(2016) · IACR Cryptology ePrint Archive · Cited by 1,288
PUF Modeling Attacks on Simulated and Silicon Data
Ruhrmair, U., Solter, J., Sehnke, F., Xu, X., Mahmoud, A., Stoyanova, V., Dror, G., Schmidhuber, J., Burleson, W., & Devadas, S. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2279798 · Cited by 637
Self-citationCounterfeit 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
Security and Privacy in the Internet of Things
Maple, C. (2017) · Journal of Cyber Policy · doi:10.1080/23738871.2017.1366536 · Cited by 316
Physical Unclonable Functions in the Internet of Things: State of the Art and Open Challenges
Babaei, A., & Schiele, G. (2019) · Sensors · doi:10.3390/s19143208 · Cited by 168
Metadata
- Authors
- Suh, G. E., & Devadas, S.
- Venue
- Proceedings of the 44th annual conference on Design automation - DAC '07
- Publisher
- ACM Press
- Published
- 2007
- Pages
- 9
- ISSN
- 0738-100X (ISSN-L)
- OpenAlex
- W2116374153
- Cited by
- 2,065
- References
- 0
- Type
- conference abstract
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Physical unclonable functions for device authentication and secret key generation. https://app.cochat.ai/papers/10.1145/1278480.1278484
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- Suh, G. E., & Devadas, S. (2007). Physical unclonable functions for device authentication and secret key generation. Proceedings of the 44th annual conference on Design automation - DAC '07. https://doi.org/10.1145/1278480.1278484
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
