Contributions to Proceedings:

M. Schrefl, K. Grün, J. Dorn:
"SemCrypt-Ensuring privacy of electronic documents through semantic-based encrypted query processing";
in: "PDM 2005 International Workshop on Privacy Data Management", issued by: IEEE Society; IEEE Computer Society Press, 2005, ISBN: 0-7695-2285-8, 1 - 10.

English abstract:
The trend towards outsourcing increases the number of
documents stored at external service providers. This storage
model, however, raises privacy and security concerns
because the service providers cannot be trusted with respect
to maintaining the privacy of the documents. The
research project SemCrypt1 explores techniques for processing
queries and updates over encrypted XML documents
stored at untrusted servers. By performing encryption
and decryption only on the client and not on the server,
SemCrypt guarantees that neither the document structure
nor the document content are disclosed on the server. Filtering
query results and processing as much as possible
of the query/update statement on the server does not depend
on special encryption techniques. Instead, the chosen
approach exploits the structural semantics of XML documents
and uses standard, well-proven encryption techniques.
SemCrypt thus enables to query and update encrypted
XML documents on untrusted servers while ensuring
data privacy.

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