Geolocation of Data in the Cloud
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Authors
Gondree, Mark
Peterson, Zachary N. J.
Subjects
Security
Legal Aspects
Measurement
Experimentation
Cloud storage
storage security
data availability
provable data possession
proof of data geolocation
Legal Aspects
Measurement
Experimentation
Cloud storage
storage security
data availability
provable data possession
proof of data geolocation
Advisors
Date of Issue
2013-02
Date
February 18-20, 2013
Publisher
Language
Abstract
We 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.
Type
Article
Description
Series/Report No
Department
Computer Science (CS)
Organization
Identifiers
NPS Report Number
Sponsors
Partial support for this work was provided by the National Science Foundation under award No. 1143573.
Funder
Format
Citation
CODASPY’13, February 18–20, 2013, San Antonio, Texas, USA.
Distribution Statement
Rights
This 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.