Difference between revisions of "Wendt2014"
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|abstract=<p>Foundry identification is essential for many tasks including intellectual property protection, trust, and preventing counterfeiting. In this paper, we introduce statistical techniques for foundry detection, specifically for identifying from which foundry a particular chip originates from. The key idea is to consider the distributions of channel lengths and threshold voltages after employing a variant of SAT that extracts these two metrics. We apply Kolmogorov-Smirnov and other statistical tests for comparing the two empirical distributions. Finally, we study the effects of sample size and measurement error on the correct identification rate and establish an interval of confidence using resubstitution techniques.</p> | |abstract=<p>Foundry identification is essential for many tasks including intellectual property protection, trust, and preventing counterfeiting. In this paper, we introduce statistical techniques for foundry detection, specifically for identifying from which foundry a particular chip originates from. The key idea is to consider the distributions of channel lengths and threshold voltages after employing a variant of SAT that extracts these two metrics. We apply Kolmogorov-Smirnov and other statistical tests for comparing the two empirical distributions. Finally, we study the effects of sample size and measurement error on the correct identification rate and establish an interval of confidence using resubstitution techniques.</p> | ||
|pages=1 - 6 | |pages=1 - 6 | ||
|month=6 | |||
|year=2014 | |||
|booktitle=Design Automation Conference (DAC) | |booktitle=Design Automation Conference (DAC) | ||
|title=Techniques for Foundry Identification | |title=Techniques for Foundry Identification | ||
|entry=inproceedings | |entry=inproceedings | ||
}} | }} | ||
Revision as of 03:41, 4 September 2021
| Wendt2014 | |
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| entry | inproceedings |
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| annote | |
| author | James B. Wendt and Farinaz Koushanfar and Potkonjak, Miodrag |
| booktitle | Design Automation Conference (DAC) |
| chapter | |
| edition | |
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| institution | |
| journal | |
| month | 6 |
| note | |
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| pages | 1 - 6 |
| publisher | |
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| series | |
| title | Techniques for Foundry Identification |
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| volume | |
| year | 2014 |
| doi | 10.1145/2593069.2593228 |
| issn | |
| isbn | 9781450327305 |
| url | dl.acm.org/citation.cfm?id=2593228 |
Email:
farinaz@ucsd.edu
farinaz@ucsd.edu
Address:
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Lab Location: EBU1-2514
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093