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Internet of things (IoT) brings forth a coupling among diverse sensors and diverse domains of applications and services. Sensors primarily provide the sensed observations, which are utilized by various applications and services. Applications are meant to serve personalized needs of the user, based on their various requirements. Therefore, in IoT, the challenge is to provide a platform to facilitate the interoperation among the diverse domains of applications, various heterogeneous devices such as sensors, actuators, gateways, and to preserve privacy while receiving and sharing the sensed observation from and with the multiple data sources and sinks. This paper discusses the characteristics and vision of the IoT system and presents a privacy preservation framework as a part of the IoT platform including a data masking tool for both privacy and utility preservation. The proposed framework provides negotiation--based architecture to find a solution for utility-privacy tradeoff in IoT data management. A case study on data privacy problem in e-health is presented along with a discussion for future research scope and conclusion.
Ukil et al. (Fri,) studied this question.