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Data integrity can be problematic when integrating and organizing in- formation from many sources. In this paper we describe ecient mech- anisms that enable a group of data owners to contribute data sets to an untrusted third-party publisher, who then answers users' queries. Each owner gets a proof from the publisher that his data is properly represented, and each user gets a proof that the answer given to them is correct. This allows owners to be confident that their data is be- ing properly represented and for users to be confident they are getting correct answers. We show that a group of data owners can eciently certify that an untrusted third party publisher has computed the cor- rect digest of the owners' collected data sets. Users can then verify that the answers they get from the publisher are the same as a fully trusted publisher would provide, or detect if they are not. The results presented support selection and range queries on multi-attribute data sets and are an extension of earlier work on Authentic Publication which assumed that a single trusted owner certified all of the data.

Certifying Data from Multiple Sources