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Authentic Third-Party Data Publication Export

In In Fourteenth IFIP 11.3 Conference on Database Security (2000), pp. 101-112.

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database merkle

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Integrity critical databases, such as financial information, used in high-value decisions, are frequently published over the internet. Publishers of such data must satisfy the integrity, authenticity, and non-repudiation requirements of end clients. Providing this protection over public data networks is costly. This is partly because building and running secure systems is hard. In practice, large systems can not be verified to be secure and are frequently penetrated. The negative consequences of a system intrusion at the data publisher can be severe. The problem is further complicated by data and server replication to satisfy availability and scalability requirements. We aim to reduce the trust required of the publisher of large, infrequently updated databases. To do this, we separate the roles of owner and publisher. With a few trusted digital signatures on the part of the owner, an untrusted publisher can use techniques based on Merkle hash trees, to provide authenticity and non-repudiation of the answer to a database query. We do not require a key to be held in an on-line system, thus reducing the impact of system penetrations. By allowing untrusted publishers, our solution moves towards more scaleable publication of large databases. 1


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