|Authors||S. Mazumdar and T. Dreibholz|
|Title||Secure Embedded Living: Towards a Self-contained User Data Preserving Framework|
|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|
|Publication Type||Journal Article|
|Year of Publication||2022|
|Journal||IEEE Communications Magazine|
|Keywords||blockchain, Cloud, Data, IoTs, Security, User|
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.