Paper Info
Title
Confidential carbon commuting: exploring a privacy-sensitive architecture for incentivising 'greener' commuting
Abstract
We discuss the problem of building a user-acceptable infrastructure for a large organisation that wishes to measure its employees' travel-to-work carbon footprint, based on the gathering of high resolution geolocation data on employees in a privacy-sensitive manner. This motivated the construction of a distributed system of personal containers in which individuals record fine-grained location information into a private data-store which they own, and from which they can trade portions of data to the organisation in return for specific benefits. This framework can be extended to gather a wide variety of personal data and facilitates the transformation of private information into a public good, with minimal and assessable loss of individual privacy. This is currently a work in progress. We report on the hardware, software and social aspects of piloting this scheme on the University of Cambridge's experimental cloud service, as well as contrasting it to a traditional centralised model.
Year
DOI
Venue
2012
10.1145/2181196.2181201
Proceedings of the First Workshop on Measurement, Privacy, and Mobility
Keywords
DocType
Citations 
confidential carbon,private data-store,assessable loss,high resolution geolocation data,large organisation,private information,personal data,personal container,experimental cloud service,individuals record fine-grained location,individual privacy,privacy-sensitive architecture,distributed system,work in progress,privacy,mobile,public good,high resolution
Conference
3
PageRank 
References 
Authors
0.39
7
4
Name
Order
Citations
PageRank
Chris Elsmore130.39
Anil Madhavapeddy267452.83
Ian Leslie3332.05
Amir Chaudhry4383.40