Enhancing Data Privacy in the Internet of Things (IoT) using Edge Computing

The vast deployment of the Internet of Things (IoT) is improving human life standards every day. These IoT applications are producing a huge amount of data from the environment where it is deployed. The collected data are mostly including end-user private data or industrial data which are transmit-ted over the internet to the cloud devices for storing, processing, and sharing with the connected applications. Recent IoT data privacy related researches are mostly focused on data privacy within a particular location of the network or at a particular device but none has pointed and listed all the places where the end-user or industrial data privacy risks exist. In this work, we have addressed both technical and management aspects for the enhancement of the privacy of IoT data. We have identified and listed the places where IoT data privacy risks exist, followed by our proposed model for data privacy enhancement in the inter-net of things (IoT) and listed ten suggestions for avoiding data privacy leakage and for IoT data privacy enhancement. The results of this work should be useful for both academic researchers and stakeholders from the industry while designing and implementing new IoT solutions for the enhancement of human society.