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Software Defined Managed Hybrid IoT as a Service

Authors:
Peter Edge
Zara Davar
Zhongwei Zhang

Keywords: Internet of Things; Hybrid Cloud; Security; Privacy and Software Defined Networking

Abstract:
Abstract— In the new era, communication devices use the Internet and World Wide Web to communicate from different locations around the world. The Internet of Things (IoT) extends this communication paradigm within different smart devices by collaborating sensor technology. In this model, infrastructure components must manage the large amounts of data generated by the smart devices and sensors. Integration of cloud computing with the IoT has many benefits and challenges; for example, cloud computing can improve the management of data from the collection phase to data process and backup. The most prominent challenges resulting from the integration are privacy and security. In this paper, we propose a secure hybrid cloud architecture mix with edge and fog computing to address security and privacy issues of IoT data. Our approach is to distinguish public and private data in the device data collection layer and address them to the right cloud (public or private) taking advantage of Software Defined Networking (SDN) for design and management of the networking layer. The privacy and security issues will be addressed within the design of the networking layer, in which all the necessary rules and protocols are in place and implemented.

Pages: 17 to 20

Copyright: Copyright (c) IARIA, 2019

Publication date: June 2, 2019

Published in: conference

ISSN: 2308-4006

ISBN: 978-1-61208-711-5

Location: Athens, Greece

Dates: from June 2, 2019 to June 6, 2019