Privacy preserving Internet of Things: From privacy techniques to a blueprint architecture and efficient implementation

The Internet of Things (IoT) is the latest web evolution that incorporates billions of devices that are owned by different organisations and people who are deploying and using them for their own purposes. IoTenabled harnessing of the information that is provided by federations of such loT devices (which are often referred to as IoT things) provides unprecedented opportunities to solve internet-scale problems that have been too big and too difficult to tackle before. Just like other web-based information systems, IoT must also deal with the plethora of Cyber Security and privacy threats that currently disrupt organisations and can potentially hold the data of entire industries and even countries for ransom. To realise its full potential, loT must deal effectively with such threats and ensure the security and privacy of the information collected and distilled from IoT devices. However, loT presents several unique challenges that make the application of existing security and privacy techniques difficult. This is because IoT solutions encompass a variety of security and privacy solutions for protecting such IoT data on the move and in store at the device layer, the loT infrastructure platform layer, and the loT application layer. Therefore, ensuring end-to-end privacy across these three loT layers is a grand challenge in loT. In this paper, we tackle the loT privacy preservation problem. In particular, we propose innovative techniques for privacy preservation of IoT data, introduce a privacy preserving IoT Architecture, and also describe the implementation of an efficient proof of concept system that utilises all these to ensure that IoT data remains private. The proposed privacy preservation techniques utilise multiple loT cloud data stores to protect the privacy of data collected from IoT. The proposed privacy preserving loT Architecture and proof of concept implementation are based on extensions of OpenloT - a widely used open source platform for IoT application development. Experimental evaluations are also provided to validate the efficiency and performance outcomes of the proposed privacy preserving techniques and architecture. (C) 2017 Elsevier B.V. All rights reserved.