User-centred privacy inference detection for smart home devices

Alexia Dini Kounoudes, Georgia M. Kapitsaki, Ioannis Katakis, Marios Milis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the smart home, vast amounts of data are being collected via various interconnected devices. Although this assists in improving the quality of life at home, often the user is not aware of the details concerning data collection apart from the information available on the provider privacy policy. It is however important to put the user inside this loop of information, so that she is well informed on possible uses of the data and the potential risks that this may entail. Previous works have identified user activity inside the smart home and have pointed out privacy threats. In this work, we go one step further by offering data inference techniques and giving this information back to the user. We use a number of machine learning techniques to draw conclusions about the user routines or activities and we inform the user about our findings concerning data inferences through a dedicated web application. Our aim is toward user-centred privacy and is a proof of concept that can be reused by smart home and Internet of Things service providers in general in order to improve the services offered to the end-users. Our results indicate that a large number of data inferences are possible by using a combination of techniques.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People, and Smart City Innovations, SmartWorld/ScalCom/UIC/ATC/IoP/SCI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages210-218
Number of pages9
ISBN (Electronic)9781665412360
DOIs
Publication statusPublished - 2021
Event2021 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People, and Smart City Innovations, SmartWorld/ScalCom/UIC/ATC/IoP/SCI 2021 - Virtual, Online, United States
Duration: 18 Oct 202121 Oct 2021

Publication series

NameProceedings - 2021 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People, and Smart City Innovations, SmartWorld/ScalCom/UIC/ATC/IoP/SCI 2021

Conference

Conference2021 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People, and Smart City Innovations, SmartWorld/ScalCom/UIC/ATC/IoP/SCI 2021
Country/TerritoryUnited States
CityVirtual, Online
Period18/10/2121/10/21

Keywords

  • Inference detection
  • Privacy
  • Smart home
  • User-centred privacy

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