Título: Achieving Differentially Privacy in Smart Homes Scenarios

Data: 15/10/2019

Horário: 11:00h

Local: Sala de Seminários - Bloco 952

Resumo:

With the growth of the Internet of Things (IoT) and Smart Homes, there is an ever-growing amount of data coming from within people's houses. These data are intrinsically private and should be treated carefully, despite their high value for analysis. In this work, we propose a differentially private strategy to estimate frequencies of values in the context of Smart Home data.

Banca:

• Prof. Dr. Javam de Castro Machado (MDCC/UFC - Orientador)
• Prof. Dr. José Maria da Silva Monteiro Filho (MDCC/UFC)
• Prof. Dr. César Lincoln Mattos (MDCC/UFC)