The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Modeling attacks on physical unclonable functions
Open accessAbstract
We show in this paper how several proposed Physical Unclonable Functions (PUFs) can be broken by numerical modeling attacks. Given a set of challenge-response pairs (CRPs) of a PUF, our attacks construct a computer algorithm which behaves indistinguishably from the original PUF on almost all CRPs. This algorithm can subsequently impersonate the PUF, and can be cloned and distributed arbitrarily. This breaks the security of essentially all applications and protocols that are based on the respective PUF. The PUFs we attacked successfully include standard Arbited PUFs and Ring Oscillator PUFs of arbitrary sizes, and XO Arbiter PUFs, Lightweight Secure PUFs, and Feed-Forward Arbiter PUFs of up to a given size and complexity. Our attacks are based upon various machine learning techniques including Logistic Regression and Evolution Strategies. Our work leads to new design requirements for secure electrical PUFs, and will be useful to PUF designers and attackers alike.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A direct adaptive method for faster backpropagation learning: the RPROP algorithm
Riedmiller, M., & Braun, H. (2002) · IEEE International Conference on Neural Networks · doi:10.1109/icnn.1993.298623 · Cited by 3,917
Cited by
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
Self-citationPUF 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-citationPhysically 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
McGrath, T., Bagci, I. E., Wang, Z. M., Roedig, U., & Young, R. J. (2019) · Applied Physics Reviews · doi:10.1063/1.5079407 · Cited by 353
Chatterjee, U., Govindan, V., Sadhukhan, R., Mukhopadhyay, D., Chakraborty, R. S., Mahata, D., & Prabhu, M. M. (2019) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2018.2832201 · Cited by 290
Metadata
- Authors
- Rührmair, U., Sehnke, F., Sölter, J., Dror, G., Devadas, S., & Schmidhuber, J.
- Venue
- Proceedings of the 17th ACM conference on Computer and communications security
- Publisher
- ACM
- Published
- 2010-10-04
- Pages
- 237-249
- ISSN
- 1543-7221 (ISSN-L)
- OpenAlex
- W2080284304
- Cited by
- 1,021
- References
- 1
- FWCI
- 22.39
- Type
- conference paper
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modeling attacks on physical unclonable functions. https://app.cochat.ai/papers/10.1145/1866307.1866335
- The paper
- Rührmair, U., Sehnke, F., Sölter, J., Dror, G., Devadas, S., & Schmidhuber, J. (2010). Modeling attacks on physical unclonable functions. Proceedings of the 17th ACM conference on Computer and communications security. https://doi.org/10.1145/1866307.1866335
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
