Difference between revisions of "Koushanfar2011a"

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|abstract=<p>This paper presents a unified formal framework for integrated circuits (ICs) Trojan detection that can simultaneously employ multiple noninvasive side-channel measurement types (modalities). After formally defining the IC Trojan detection for each side-channel measurement and analyzing the complexity, we devise a new submodular formulation of the problem objective function. Based on the objective function properties, an efficient Trojan detection method with strong approximation and optimality guarantees is introduced. Signal processing methods for calibrating the impact of interchip and intrachip correlations are presented. We define a new sensitivity metric that formally quantifies the impact of modifications to each existing gate that is affected by Trojan. Using the new metric, we compare the Trojan detection capability of different measurement types for static (quiescent) current, dynamic (transient) current, and timing (delay) side-channel measurements. We propose four methods for combining the detection results that are gained from different measurement modalities and show how the sensitivity results can be used for a systematic combining of the detection results. Experimental evaluations on benchmark designs reveal the low-overhead and effectiveness of the new Trojan detection framework and provides a comparison of different detection combining methods.</p>
|abstract=<p>This paper presents a unified formal framework for integrated circuits (ICs) Trojan detection that can simultaneously employ multiple noninvasive side-channel measurement types (modalities). After formally defining the IC Trojan detection for each side-channel measurement and analyzing the complexity, we devise a new submodular formulation of the problem objective function. Based on the objective function properties, an efficient Trojan detection method with strong approximation and optimality guarantees is introduced. Signal processing methods for calibrating the impact of interchip and intrachip correlations are presented. We define a new sensitivity metric that formally quantifies the impact of modifications to each existing gate that is affected by Trojan. Using the new metric, we compare the Trojan detection capability of different measurement types for static (quiescent) current, dynamic (transient) current, and timing (delay) side-channel measurements. We propose four methods for combining the detection results that are gained from different measurement modalities and show how the sensitivity results can be used for a systematic combining of the detection results. Experimental evaluations on benchmark designs reveal the low-overhead and effectiveness of the new Trojan detection framework and provides a comparison of different detection combining methods.</p>
|pages=162 -174
|pages=162 -174
|month=3
|year=2011
|number=1
|number=1
|volume=6
|volume=6
|journal= IEEE Transactions on Information Forensics and Security
|journal=IEEE Transactions on Information Forensics and Security
|title=A Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection
|title=A Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection
|entry=article
|entry=article
|date=2011-3/-01
|pdf=Koushanfar2011a.pdf
}}
}}

Latest revision as of 02:39, 10 November 2021

Koushanfar2011a
entryarticle
address
annote
authorFarinaz Koushanfar and Azalia Mirhoseini
booktitle
chapter
edition
editor
howpublished
institution
journalIEEE Transactions on Information Forensics and Security
month3
note
number1
organization
pages162 -174
publisher
school
series
titleA Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection
type
volume6
year2011
doi
issn
isbn
urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true\&arnumber=5657256\&tag=1
pdfKoushanfar2011a.pdf

File:Koushanfar2011a.pdf

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Email:
farinaz@ucsd.edu
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Address:
Electrical & Computer Engineering
University of California, San Diego
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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