Defesa de Mestrado de Jefferson Rodrigo Capovilla

Título do Trabalho
Improving the Statistical Variability of Delay-based Physical Unclonable Functions
Candidato(a)
Jefferson Rodrigo Capovilla
Nível
Mestrado
Data
18/03/20162016-03-17 21:00:00 2016-03-17 21:00:00 Defesa de Mestrado de Jefferson Rodrigo Capovilla Improving the Statistical Variability of Delay-based Physical Unclonable Functions Auditório do IC 2 - Sala 85 INSTITUTO DE COMPUTAÇÃO mauroesc@ic.unicamp.br America/Sao_Paulo public
Horário
14:30 h
Local
Auditório do IC 2 - Sala 85
Orientador(a)
Guido Costa Souza de Araújo
Banca Examinadora

Titulares:
Guido Costa Souza de Araújo (IC/UNICAMP)
Carlos Alberto dos Reis Filho (CECS/UFABC)
Ricardo Pannain (IC/UNICAMP)
Suplentes:
Paulo César Centoducatte (IC/UNICAMP)
Frank Herman Behrens (Inst.Informática/PUCC)

Resumo

Physical Unclonable Functions (PUFs) are circuits which exploit the statistical variability of the fabrication process to create a unique device identity. PUFs have been used in the design of cryptographic primitives for applications like device authentication, key generation and intellectual property protection. Due to its small cost and design simplicity, delay-based Arbiter PUFs (APUFs) have been considered a cryptographic engine candidate for the integration into low-cost IoT devices (e.g. RFID tags). Although APUFs have been extensively studied in the literature, not much work has been done in understanding how to improve its response variability using VLSI design techniques. This dissertation uses extensive AMS 350nm SPICE-based Monte-Carlo simulation to analyze how the proper selection of arbiter element and gate sizing can affect the delay variability of APUFs. Experimental results show that the combination of the appropriate arbiter and gate sizing configuration can considerably improve the Hamming Weight distribution of the APUF response, thus resulting in more reliable and less biased designs.