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
|date=2014-Ju-01
|pdf=Wendt2014.pdf
}}
}}

Latest revision as of 18:40, 9 November 2021

Wendt2014
entryinproceedings
address
annote
authorJames B. Wendt and Farinaz Koushanfar and Potkonjak, Miodrag
booktitleDesign Automation Conference (DAC)
chapter
edition
editor
howpublished
institution
journal
month6
note
number
organization
pages1 - 6
publisher
school
series
titleTechniques for Foundry Identification
type
volume
year2014
doi10.1145/2593069.2593228
issn
isbn9781450327305
urldl.acm.org/citation.cfm?id=2593228
pdfWendt2014.pdf

File:Wendt2014.pdf

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Email:
farinaz@ucsd.edu
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Address:
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
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Lab Location: EBU1-2514
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093