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State University of New York at Buffalo

Physically Unclonable Functions based on Voltage Divider Arrays of MOSFETs in Subthreshold Region of Operation

Abstract

dc:description.abstract

In this thesis, a novel architecture of a simple, low energy silicon physically unclonable function (PUF) for the purpose of device authentication is proposed. The physically unclonable function proposed is a voltage divider array of MOSFETs operating in the subthreshold region of operation. This design aims to improve the energy efficiency when compared to the previously published designs. This structure is a strong silicon PUF with 260 challenge response pairs and consumes 0.48pJ/bit of energy only. The measured inter hamming distance is 0.4982 and intra hamming distance is 0.0225. The circuits are designed in TSMC 65nm technology using Cadence software and the computations and interpretations is done using MATLAB.

Degree

thesis:*
Grantor dc:publisher
State University of New York at Buffalo
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bahudhanam Venkatasubramaniyan, Aishwarya; 0000-0003-1970-0798
Contributors dc:contributor
  • Sanyal, Arindam
  • Electrical Engineering

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.
  • Copyright retained by author.
Language dc:language
eng

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/10477/77965

Chain of custody

source
Harvested from
Buffalo
Base URL
ubir.buffalo.edu/oai/request
Last updated
2026-08-21
Source record
OAI-PMH GetRecord
citation

Bahudhanam Venkatasubramaniyan, Aishwarya; 0000-0003-1970-0798. Physically Unclonable Functions based on Voltage Divider Arrays of MOSFETs in Subthreshold Region of Operation. State University of New York at Buffalo, 2018. http://hdl.handle.net/10477/77965