Off-campus UMass Amherst users: To download dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.
Non-UMass Amherst users, please click the view more button below to purchase a copy of this dissertation from Proquest.
(Some titles may also be available free of charge in our Open Access Dissertation Collection, so please check there first.)
Privacy-aware collaboration among untrusted resource constrained devices
Abstract
Individuals are increasingly encouraged to share private information with service providers. Privacy is relaxed to increase the utility of the data for the provider. This dissertation offers an alternative approach in which raw data stay with individuals and only coarse aggregates are sent to analysts. A challenge is the reliance on constrained devices for data collection. This dissertation demonstrates the practicality of this approach by designing and implementing privacy-aware systems that collect information using low-cost or ultra-low-power microcontrollers. Smart meters can generate certified readings suitable for use in a privacy-preserving system every 10s using a Texas Instruments MSP430 microcontroller. CRFIDs—batteryless devices that operate on harvested energy from RF—can generate encrypted sub-aggregates in 17s to contribute to a privacy-preserving aggregation system that does not rely on a trusted aggregator. A secure communication channel for CRFID tags via untrusted relays achieves a throughput of 18Kbps.
Subject Area
Computer science
Recommended Citation
Molina-Markham, Andres David, "Privacy-aware collaboration among untrusted resource constrained devices" (2013). Doctoral Dissertations Available from Proquest. AAI3556271.
https://scholarworks.umass.edu/dissertations/AAI3556271