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dc.contributor.authorGondree, Mark
dc.contributor.authorPeterson, Zachary N. J.
dc.dateFebruary 18-20, 2013
dc.date.accessioned2015-08-28T18:23:49Z
dc.date.available2015-08-28T18:23:49Z
dc.date.issued2013-02
dc.identifier.citationCODASPY’13, February 18–20, 2013, San Antonio, Texas, USA.en_US
dc.identifier.urihttp://hdl.handle.net/10945/46374
dc.description.abstractWe introduce and analyze a general framework for authentically binding data to a location while providing strong assurances against cloud storage providers that (either accidentally or maliciously) attempt to re-locate cloud data. We then evaluate a preliminary solution in this framework that combines constraint-based host geolocation with proofs of data possession, called constraint-based data geolocation (CBDG). We evaluate CBDG using a combination of experiments with PlanetLab and real cloud storage services, demonstrating that we can bind fetched data to the location originally hosting it with high precision. We geolocate data hosted on the majority of our PlanetLab targets to regions no larger than 118,000 km2, and we geolocate data hosted on Amazon S3 to an area no larger than 12,000 km2, sufficiently small to identify the state or service region.en_US
dc.description.sponsorshipPartial support for this work was provided by the National Science Foundation under award No. 1143573.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleGeolocation of Data in the Clouden_US
dc.typeArticleen_US
dc.contributor.departmentComputer Science (CS)
dc.subject.authorSecurityen_US
dc.subject.authorLegal Aspectsen_US
dc.subject.authorMeasurementen_US
dc.subject.authorExperimentationen_US
dc.subject.authorCloud storageen_US
dc.subject.authorstorage securityen_US
dc.subject.authordata availabilityen_US
dc.subject.authorprovable data possessionen_US
dc.subject.authorproof of data geolocationen_US


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