Authors | S. Mazumdar and T. Dreibholz |
Title | Secure Embedded Living: Towards a Self-contained User Data Preserving Framework |
Afilliation | Communication 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 |
Status | Published |
Publication Type | Journal Article |
Year of Publication | 2022 |
Journal | IEEE Communications Magazine |
Volume | 60 |
Issue | 11 |
Pagination | 74–80 |
Date Published | 11/2022 |
Publisher | IEEE |
ISSN | 0163-6804 |
Keywords | blockchain, 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. |
DOI | 10.1109/MCOM.001.2200165 |
Citation Key | CommMag2022 |