| Harvesting verifiable challenges from oblivious online sources |
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Conference on Computer and Communications Security
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Proceedings of the 14th ACM conference on Computer and communications security
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Alexandria, Virginia, USA
SESSION: Protocols and spam filters
table of contents
Pages: 330 - 341
Year of Publication: 2007
ISBN:978-1-59593-703-2
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Downloads (6 Weeks): 2, Downloads (12 Months): 55, Citation Count: 1
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ABSTRACT
Several important security protocols require parties to perform computations based on random challenges. Traditionally, proving that the challenges were randomly chosen has required interactive communication among the parties or the existence of a trusted server. We offer an alternative solution where challenges are harvested from oblivious servers on the Internet. This paper describes a framework for deriving "harvested challenges" by mixing data from various pre-existing online sources. While individual sources may become predictable or fall under adversarial control, we provide a policy language that allows application developers to specify combinations of sources that meet their security needs. Participants can then convince each other that their challenges were formed freshly and in accordance with the policy. We present Combine, an open source implementation of our framework, and show how it can be applied to a variety of applications, including remote storage auditing and non-interactive client puzzles.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Adam Back. Hashcash - a denial of service counter-measure. http://www.hashcash.org/hashcash.pdf, 2002.
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4
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5
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6
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Giovanni Di Crescenzo, Richard J. Lipton, and Shabsi Walfish. Perfectly secure password protocols in the bounded retrieval model. In TCC, pages 225--244, 2006.
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7
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8
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Yevgeniy Dodis, Ariel Elbaz, Roberto Oliveira, and Ran Raz. Improved randomness extraction from two independent sources. In APPROX-RANDOM, pages 334--344, 2004.
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9
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10
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11
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12
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Ari Juels and John G. Brainard. Client puzzles: A cryptographic countermeasure against connection depletion attacks. In NDSS, 1999.
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13
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Martijn Koster. A standard for robot exclusion. http://www.robotstxt.org/wc/norobots.html, 1994.
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14
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15
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National Solar Observatory/Sacramento Peak. Images and current data. http://nsosp.nso.edu/data/.
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16
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USGS Earthquake Hazards Program. Latest earthquakes in the world - past 7 days. http://earthquake.usgs.gov/eqcenter/recenteqsww/Quakes/quakes all.php.
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17
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RSS 2.0 specification. http://blogs.law.harvard.edu/tech/rss, 2003.
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18
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Technorati: About us. http://www.technorati.com/about/, 2007.
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19
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CITED BY
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Ellick M. Chan , Carl A. Gunter , Sonia Jahid , Evgeni Peryshkin , Daniel Rebolledo, Using rhythmic nonces for puzzle-based DoS resistance, Proceedings of the 2nd ACM workshop on Computer security architectures, October 31-31, 2008, Alexandria, Virginia, USA
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