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Engineering privacy-aware smart home environments

Published: 23 June 2020 Publication History

Abstract

Smart homes (SmHs) integrate a number of user interaction technologies, which have the potential to cause privacy violations between occupants of the home either through inappropriate information disclosures or disturbances. One approach to protecting SmH occupants' privacy is to develop techniques for dynamically adapting the UI layer according to the context, as well as each occupant's preferences and capabilities. Therefore, the focus of this research is to develop a framework and set of algorithms which can adapt the configuration and behavior of UI layer in order to preserve the privacy of SmH occupants while maintaining usability.

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Cited By

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  • (2024)Knocking out Security Risks of Smart Video Doorbell Cameras2024 27th International Symposium on Wireless Personal Multimedia Communications (WPMC)10.1109/WPMC63271.2024.10863209(1-5)Online publication date: 17-Nov-2024
  • (2023)User-centric privacy preserving models for a new era of the Internet of ThingsJournal of Network and Computer Applications10.1016/j.jnca.2023.103695217:COnline publication date: 1-Aug-2023

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Published In

cover image ACM Conferences
EICS '20 Companion: Companion Proceedings of the 12th ACM SIGCHI Symposium on Engineering Interactive Computing Systems
June 2020
99 pages
ISBN:9781450379847
DOI:10.1145/3393672
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 June 2020

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Author Tags

  1. adaptive user interfaces
  2. end user privacy management
  3. smart home interfaces

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  • Extended-abstract

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  • The Open University, UK

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EICS '20
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EICS '20 Companion Paper Acceptance Rate 18 of 61 submissions, 30%;
Overall Acceptance Rate 73 of 299 submissions, 24%

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Cited By

View all
  • (2024)Knocking out Security Risks of Smart Video Doorbell Cameras2024 27th International Symposium on Wireless Personal Multimedia Communications (WPMC)10.1109/WPMC63271.2024.10863209(1-5)Online publication date: 17-Nov-2024
  • (2023)User-centric privacy preserving models for a new era of the Internet of ThingsJournal of Network and Computer Applications10.1016/j.jnca.2023.103695217:COnline publication date: 1-Aug-2023

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