DocumentCode
2365743
Title
A Novel Sustained Vector Technique for the Detection of Hardware Trojans
Author
Banga, Mainak ; Hsiao, Michael S.
Author_Institution
Bradley Dept. of Electr. & Comput. Eng., Virginia Tech., Blacksburg, VA
fYear
2009
fDate
5-9 Jan. 2009
Firstpage
327
Lastpage
332
Abstract
Intentional tampering in the internal circuit structure by implanting Trojans can result in disastrous operational consequences. While a faulty manufacturing leads to a nonfunctional device, effect of an external implant can be far more detrimental. Therefore, effective detection and diagnosis of such maligned ICs in the post silicon testing phase is imperative, if the parts are intended to be used in mission critical applications. We propose a novel sustained vector methodology that proves to be very effective in detecting the presence of a Trojan in an IC. Each vector is repeated multiple times at the input of both the genuine and the Trojan circuits that ensures the reduction of extraneous toggles within the genuine circuit. Regions showing wide variations in the power behavior are analyzed to isolate the infected gate(s). Experimental results on ISCAS benchmark circuits show that this approach can magnify the behavioral difference between a genuine and infected IC up to thirty times as compared to the previous approaches.
Keywords
integrated circuit manufacture; invasive software; monolithic integrated circuits; semiconductor industry; silicon; Trojan circuits; external implant; gate infection; hardware Trojan detection; internal circuit structure; maligned IC; post silicon testing phase; sustained vector methodology; Automatic testing; Built-in self-test; Circuit faults; Circuit testing; Costs; Fabrication; Hardware; Manufacturing; Silicon; Viruses (medical); Power profile; Side-channel analysis; Torjan;
fLanguage
English
Publisher
ieee
Conference_Titel
VLSI Design, 2009 22nd International Conference on
Conference_Location
New Delhi
ISSN
1063-9667
Print_ISBN
978-0-7695-3506-7
Type
conf
DOI
10.1109/VLSI.Design.2009.22
Filename
4749695
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