@article{16781,
  keywords = {Security, Cloud, blockchain, Data, IoTs, User},
  author = {Somnath Mazumdar and Thomas Dreibholz},
  title = {Secure Embedded Living: Towards a Self-contained User Data Preserving Framework},
  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.},
  year = {2022},
  journal = {IEEE Communications Magazine},
  volume = {60},
  pages = {74{\textendash}80},
  month = {11/2022},
  publisher = {IEEE},
  issn = {0163-6804},
  doi = {10.1109/MCOM.001.2200165},
}