Open AccessAchieving Differential Privacy in Smart Home Scenarios
Author(s) -
Israel C. Vidal,
Franck Rousseau,
Javam C. Machado
Publication year - 2019
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbbd.2019.8825
Subject(s) - differential privacy , internet of things , context (archaeology) , home automation , internet privacy , computer science , computer security , work (physics) , information privacy , the internet , value (mathematics) , telecommunications , world wide web , engineering , data mining , geography , mechanical engineering , archaeology , machine learning
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.
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