Lancaster EPrints

Privacy mediators : helping IoT cross the chasm

Davies, Nigel Andrew Justin and Taft, Nina and Satyanarayanan, Mahadev and Clinch, Sarah and Amos, Brandon (2016) Privacy mediators : helping IoT cross the chasm. In: HotMobile '16 Proceedings of the 17th International Workshop on Mobile Computing Systems and Applications :. ACM, New York, pp. 39-44. ISBN 9781450341455

[img]
Preview
PDF (44691) - Submitted Version
Available under License Creative Commons Attribution.

Download (357Kb) | Preview

    Abstract

    Unease over data privacy will retard consumer acceptance of IoT deployments. The primary source of discomfort is a lack of user control over raw data that is streamed directly from sensors to the cloud. This is a direct consequence of the over-centralization of today’s cloud-based IoT hub designs. We propose a solution that interposes a locally-controlled software component called a privacy mediator on every raw sensor stream. Each mediator is in the same administrative domain as the sensors whose data is being collected, and dynamically enforces the current privacy policies of the owners of the sensors or mobile users within the domain. This solution necessitates a logical point of presence for mediators within the administrative boundaries of each organization. Such points of presence are provided by cloudlets, which are small locally-administered data centers at the edge of the Internet that can support code mobility. The use of cloudlet-based mediators aligns well with natural personal and organizational boundaries of trust and responsibility.

    Item Type: Contribution in Book/Report/Proceedings
    Additional Information: © 2016 Copyright held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in HotMobile ’16 February 26-27, 2016, St. Augustine, FL, USA http://dx.doi.org/10.1145/2873587.2873600
    Subjects:
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 78255
    Deposited By: ep_importer_pure
    Deposited On: 19 Feb 2016 16:08
    Refereed?: No
    Published?: Published
    Last Modified: 18 Jul 2018 01:18
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/78255

    Actions (login required)

    View Item