Optimization of Physical Unclonable Function Protocols for Lightweight Processing

Physically 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.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Computer Engineering

Department dc:contributor.department

Electrical and Computer Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2016

Author dc:creator

• Pinto, Carol Suman

Chair dc:contributor.committeechair

• Schaumont, Patrick R.

Committee members dc:contributor.committeemember

• Nazhandali, Leyla
• Hsiao, Michael S.

• Physical Unclonable Functions (PUFs)
• Static Random Access Memory (SRAM)
• Cryptographic protocols

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

vt_gsexam:8804

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/72868