Rights statement: © 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
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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Privacy mediators
T2 - The Seventeenth Workshop on Mobile Computing Systems and Applications (ACM HotMobile 2016)
AU - Davies, Nigel Andrew Justin
AU - Taft, Nina
AU - Satyanarayanan, Mahadev
AU - Clinch, Sarah
AU - Amos, Brandon
N1 - © 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
PY - 2016/2/23
Y1 - 2016/2/23
N2 - 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.
AB - 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.
U2 - 10.1145/2873587.2873600
DO - 10.1145/2873587.2873600
M3 - Conference contribution/Paper
SN - 9781450341455
SP - 39
EP - 44
BT - HotMobile '16 Proceedings of the 17th International Workshop on Mobile Computing Systems and Applications
PB - ACM
CY - New York
Y2 - 23 February 2016 through 24 February 2016
ER -