Optimization of Physical Unclonable Function Protocols for Lightweight Processing

dc.contributor.authorPinto, Carol Sumanen
dc.contributor.committeechairSchaumont, Patrick R.en
dc.contributor.committeememberNazhandali, Leylaen
dc.contributor.committeememberHsiao, Michael S.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2016-09-02T08:00:30Zen
dc.date.available2016-09-02T08:00:30Zen
dc.date.issued2016-09-01en
dc.description.abstractPhysically unclonable functions are increasingly used as security primitives for device identification and anti-counterfeiting. However, PUFs are associated with noise and bias which in turn affects its property of reliability and predictability. The noise is corrected using fuzzy extractors, but the helper data generated during the process may cause leakage in min-entropy due to the bias observed in the response. This thesis offers two optimization techniques for PUF based protocols. The first part talks about the construction of a secure enrollment solution for PUFs on a low-end resource-constrained device using a microcontroller and a secure networked architecture. The second part deals with the combined optimization of min-entropy and error-rate using symbol clustering techniques to improve the reliability of SRAM PUFs. The results indicate an increase in min-entropy without much effect on the error rate but at the expense of PUF size.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:8804en
dc.identifier.urihttp://hdl.handle.net/10919/72868en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectPhysical Unclonable Functions (PUFs)en
dc.subjectStatic Random Access Memory (SRAM)en
dc.subjectCryptographic protocolsen
dc.titleOptimization of Physical Unclonable Function Protocols for Lightweight Processingen
dc.typeThesisen
thesis.degree.disciplineComputer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen
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