Partition based Approaches for the Isolation and Detection of Embedded Trojans in ICs

dc.contributor.authorBanga, Mainaken
dc.contributor.committeechairHsiao, Michael S.en
dc.contributor.committeememberHuang, Chaoen
dc.contributor.committeememberShukla, Sandeep K.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:44:48Zen
dc.date.adate2008-09-29en
dc.date.available2014-03-14T20:44:48Zen
dc.date.issued2008-09-01en
dc.date.rdate2008-09-29en
dc.date.sdate2008-09-04en
dc.description.abstractThis thesis aims towards devising a non-destructive testing methodology for ICs fabricated by a third party manufacturer to ensure the integrity of the chip. With the growing trend of outsourcing, the sanity of the final product has emerged to be a prime concern for the end user. This is especially so if the components are to be used in mission-critical applications such as space-exploration, medical diagnosis and treatment, defense equipment such as missiles etc., where a single failure can lead to a disaster. Thus, any extraneous parts (Trojans) that might have been implanted by the third party manufacturer with a malicious intent during the fabrication process must be diagnosed before the component is put to use. The inherent stealthy nature of Trojans makes it difficult to detect them at normal IC outputs. More so, with the restriction that one cannot visually inspect the internals of an IC after it has been manufactured. This obviates the use of side-channel signal(s) that acts like a signature of the IC as a means to assess its internal behavior under operational conditions. In this work, we have selected power as the side-channel signal to characterize the internal behavior of the ICs. We have used two circuit partitioning based approaches for isolating and enhancing the behavioral difference between parts of a genuine IC and one with a sequence detector Trojan in it. Experimental results reveal that these approaches are effective in exposing anomalous behavior between the targeted ICs. This is reflected as difference in power-profiles of the genuine and maligned ICs that is magnified above the process variation ensuring that the discrepancies are observable.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-09042008-155719en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-09042008-155719/en
dc.identifier.urihttp://hdl.handle.net/10919/34924en
dc.publisherVirginia Techen
dc.relation.haspartMS_Thesis_Mainak.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectSide-Channel Analysisen
dc.subjectPower profileen
dc.subjectState-spaceen
dc.subjectTrojansen
dc.titlePartition based Approaches for the Isolation and Detection of Embedded Trojans in ICsen
dc.typeThesisen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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