truthsayer.cs.ucdavis.edu

Truthsayer: The Authentic Data Publication Project

We aim to reduce the trust required of the publisher of large, infrequently updated databases. To do this, we separate the roles of data owner. With a few trusted digital signatures on the part of the owner, an untrusted publisher can use techniques based on Merkle. Note that data represented in different data models require different forms of summary information and verification object, which rely on computation on different data representations. Currently, our approach supports relational data and ...

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Truthsayer: The Authentic Data Publication Project | truthsayer.cs.ucdavis.edu Reviews

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We aim to reduce the trust required of the publisher of large, infrequently updated databases. To do this, we separate the roles of data owner. With a few trusted digital signatures on the part of the owner, an untrusted publisher can use techniques based on Merkle. Note that data represented in different data models require different forms of summary information and verification object, which rely on computation on different data representations. Currently, our approach supports relational data and ...

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Truthsayer: The Authentic Data Publication Project | truthsayer.cs.ucdavis.edu Reviews

https://truthsayer.cs.ucdavis.edu

We aim to reduce the trust required of the publisher of large, infrequently updated databases. To do this, we separate the roles of data owner. With a few trusted digital signatures on the part of the owner, an untrusted publisher can use techniques based on Merkle. Note that data represented in different data models require different forms of summary information and verification object, which rely on computation on different data representations. Currently, our approach supports relational data and ...

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truthsayer.cs.ucdavis.edu

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Truthsayer: The Authentic Data Publication Project

http://truthsayer.cs.ucdavis.edu/index.html

We aim to reduce the trust required of the publisher of large, infrequently updated databases. To do this, we separate the roles of data owner. With a few trusted digital signatures on the part of the owner, an untrusted publisher can use techniques based on Merkle. Note that data represented in different data models require different forms of summary information and verification object, which rely on computation on different data representations. Currently, our approach supports relational data and ...

2

The Authentic Publication Project -- Publications

http://truthsayer.cs.ucdavis.edu/pubs.html

Michael Gertz, April Kwong, Charles U. Martel, Glen Nuckolls, Premkumar T. Devanbu, Stuart S. Stubblebine: Databases that tell the Truth: Authentic Data Publication. In Bulletin of the Technical Committee on Data Engineering. March 2004, Vol 7, No 1. Local Version (Single Paper, PDF). Charles Martel, Glenn Nuckolls, Premkumar Devanbu, Michael Gertz, April Kwong, Stuart G. Stubblebine: A General Model for Authenticated Data Structures. In Algorithmica, Volume 39, No 1 (Spinger), 2004. April Kwong, Michael...

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The Authentic Publication Project

http://truthsayer.cs.ucdavis.edu/others.html

References to the project:. Techie Tidbits: TruthSayer: The Authentic Publication Project. Data protected on unlocked Web sites. A System that May Lead to More Truth Telling on the Internet. Ungesicherte Server liefern sichere Daten. Telling the truth on the Internet. UC Davis News and Information. Data protected on unlocked Web sites. Whether it's booking a . Blognaver.com (partialy Korean.). Some citiations (based on Google Scholar):. Authentic Third-party Data Publication. 55, as of Jan 06).

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The Authentic Publication Project -- Team Members

http://truthsayer.cs.ucdavis.edu/team.html

Premkumar T. Devanbu. Charles U. Martel. Phillip W. Rogaway. Stuart G. Stubblebine. Stubblebine Consulting, LLC. Now working as Adjunct Assistant Professor at UT Austin. Now working at Microsoft. Roger Yeh, UC Davis.

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Truthsayer: The Authentic Data Publication Project

We aim to reduce the trust required of the publisher of large, infrequently updated databases. To do this, we separate the roles of data owner. With a few trusted digital signatures on the part of the owner, an untrusted publisher can use techniques based on Merkle. Note that data represented in different data models require different forms of summary information and verification object, which rely on computation on different data representations. Currently, our approach supports relational data and ...

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