Towards data privacy in a fog of things

Abstract

Data from the Internet of Things (IoT) devices enable the design of new business models and services, improving user experience and satisfaction. However, these devices also collect personal data and place them on centralized servers without transparency and user control, enhancing data privacy concerns (such as identification, localization and tracking, profiling, and linkage). We propose the Fog of Things (FoT)-Personal Data Stores (PDS) paradigm, an extension of the (FoT) paradigm tailored to protect personal data privacy in the IoT, specifically in the FoT. We propose a data decentralization solution through Personal Data Stores, empowering users with control over their data. We present an architectural framework based on this concept and an implementation of a usage scenario.