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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Microprocessors and ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Microprocessors and Microsystems
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2023
Data sources: DBLP
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Improving hardware Trojan detection by retiming

Authors: Seyed Mohammad Hossein Shekarian; Morteza Saheb Zamani;

Improving hardware Trojan detection by retiming

Abstract

Abstract Hardware Trojan horses (HTHs) are challenging threats to the security of silicon chips. A promising solution is path-delay fingerprinting for HTH detection. This paper presents trust-driven retiming ( TDR ) , a synthesis approach to provide a circuit which can be analyzed more effectively by delay fingerprinting. To this end, TDR tries to reduce the maximum-delay path among all shortest paths crossing each node. We prove that HTH detection probability (HDP) is improved if delay fingerprinting is performed on shorter paths. Experimental results show that TDR can increase the HDP up to more than 90% at the cost of one clock cycle latency and a reasonable area overhead. The HDP tends to 100% if a 2% false alarm rate be acceptable.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Top 10%
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