A Method for Privacy-Preserving in IoT-SDN Integration Environment
Mehdi Gheisari, Guojun Wang, Shuhong Chen, Ali Seyfollahi · 2018
IoT aim is connecting all objects around the world with each other through the Internet. There are a large number of devices in the IoT that each one produces data over time. We can not publish the original data, without any process, due to the possibility of sensitive data disclosure. A networking paradigm that provisions network management flexibility and easier manipulation of the network called "Software Defined Networking" (SDN) recently emerged. Through observations, we have found existing solutions are in lack of flexibility in management while preserving-privacy. In this paper, at first, we propose a platform for integration of IoT with SDN. Then, we propose a method for solving the data privacy issue on top of it. Instead of having one static rule for all IoT devices, in our solution, each device can apply six possible privacy-preserving rules. During the time, the privacy method that each device should apply changes. We show the striking flexibility of our architecture so that management of data would be more efficient along with we are able to preserve the privacy of produced data in an acceptable level, finding original data would be a tough task.