AuthorsS. Mazumdar, and T. Dreibholz
TitleSecure Embedded Living: Towards a Self-contained User Data Preserving Framework
AfilliationCommunication Systems
Project(s)Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, NorNet, SMIL: SimulaMet Interoperability Lab, GAIA, The Center for Resilient Networks and Applications
StatusPublished
Publication TypeJournal Article
Year of Publication2022
JournalIEEE Communications Magazine
Volume60
Issue11
Pagination74–80
Date Published11/2022
Publisher IEEE
ISSN0163-6804
Keywordsblockchain, Cloud, Data, IoTs, Security, User
Abstract

Smart living represents the hardware-software co-inhabiting with humans for better living standards and improved well-being. Here, hardware monitors human activities (by collecting data) specific to a context. Such data can be processed to offer context-specific valuable insights. Such insights can be used for optimising the well-being, living experience and energy cost of smart homes. This paper proposes a Secure Embedded Living Framework (SELF) that enforces a privacy-preserving data control mechanism by integrating multiple technologies, such as Internet-of-thing, cloud/fog platform, machine learning and blockchain. The primary aim of the SELF is to allow the user to retain more control of its data.

DOI10.1109/MCOM.001.2200165
Citation Key CommMag2022

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