@inProceedings{
 title = {YouProve: Authenticity and Fidelity in Mobile Sensing},
 type = {inProceedings},
 year = {2011},
 identifiers = {[object Object]},
 keywords = {authenticity,mobile-phone,smartphone,summarized},
 websites = {http://www.cs.duke.edu/~lpcox/youprove-sensys11.pdf},
 publisher = {ACM},
 city = {New York, NY, USA},
 id = {f64a14b0-1a60-397f-9600-da72b7edd6f4},
 created = {2018-07-12T21:32:04.088Z},
 file_attached = {false},
 profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},
 group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},
 last_modified = {2018-07-12T21:32:04.088Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {gilbert:youprove11},
 source_type = {inproceedings},
 notes = {An interesting approach in which they leverage TPM-like hardware to provide a root of trust for attesting to the transformations made on a mobile phone, starting with audio or photographic sensor data. Thus, for example, a citizen journalist can make certain "non-content" transformations to an image, or audio recording, before uploading to a journalism website, whereas the latter can verify that the transformations don't change the content of the material. In the YouProve approach a small data-analysis module in the OS, covered by trusted boot, can measure the changes in the media file and determine whether they are significant; meanwhile, the data transformation application itself runs at user level, outside the OS, outside the trusted software base.},
 private_publication = {false},
 bibtype = {inProceedings},
 author = {Gilbert, Peter and Jung, Jaeyeon and Lee, Kyungmin and Qin, Henry and Sharkey, Daniel and Sheth, Anmol and Cox, Landon P},
 booktitle = {Proceedings of 9th ACM Conference on Embedded Networked Sensor Systems (SenSys)}
}

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