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

journal contribution
posted on 2024-11-02, 05:50 authored by Prem Jayaraman, Xuechao Yang, Ali Yavari, Dimitrios Georgakopoulos, Xun YiXun Yi
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. IoT-enabled harnessing of the information that is provided by federations of such IoT 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, IoT must deal effectively with such threats and ensure the security and privacy of the information collected and distilled from IoT devices. However, IoT 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 IoT infrastructure/platform layer, and the IoT application layer. Therefore, ensuring end-to-end privacy across these three IoT layers is a grand challenge in IoT. In this paper, we tackle the IoT 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 IoT cloud data stores to protect the privacy of data collected from IoT. The proposed privacy preserving IoT Architecture and proof of concept implementation are based on extensions of OpenIoT - a widely used open source platform for IoT application dev

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.future.2017.03.001
  2. 2.
    ISSN - Is published in 0167739X

Journal

Future Generation Computer Systems

Volume

76

Start page

540

End page

549

Total pages

10

Publisher

Elesvier BV (North-Holland)

Place published

Netherlands

Language

English

Copyright

© 2017 Elsevier

Former Identifier

2006077693

Esploro creation date

2020-06-22

Fedora creation date

2017-11-06

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