A Study of Secure Distributed Management of Sensing Data in IoT Environment

Abstract

For commercialization of communication with IoT (Internet of Things) and M2M (Machine-to-Machine) in connecting tens of trillions of sensors and other devices, communication infrastructure that can significantly reduce the number of data flows compared to existing infrastructure is required to effectively deal with data originating from several transmitters. This paper discusses the secret sharing-based safe sensing data management method in terms of distributed data management in the Fog Computing environment. The study method is based on a privacy function allowing context aware secret sharing in disclosing information by adjusting the amount and degree of disclosed personal information to an individual circumstance. Dynamic information partition and recovery is possible by controlling personal information, locational information and medical information by an individual; in other words, introducing the concept of context space. © 2019 NADIA.