@Article{ CommMag2022,
	author = "Somnath Mazumdar and Thomas Dreibholz",
	title = "{Secure Embedded Living: Towards a Self-contained User Data Preserving Framework}",
	journal = "{IEEE Communications Magazine}",
	volume = "60",
	issue = "11",
	pages = "74--80",
	numpages = "7",
	day = "11",
	month = nov,
	year = "2022",
	language = "english",
	issn = "0163-6804",
	doi = "10.1109/MCOM.001.2200165",
	keywords = "IoTs, Cloud, Blockchain, Data, 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.}",
	url = "https://web-backend.simula.no/sites/default/files/publications/files/commmag2022.pdf",
	url.size = "343205",
	url.md5 = "aee5a6a9043799f00b9836ce7cafd8d4",
	url.mime = "application/pdf",
	url.pagesize = "612 x 792 pts (letter)",
	url.checked = "2024-06-30 12:15:47 CEST",
	note = "{ISSN} 0163-6804"
}