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A new privacy homomorphism and applications

✍ Scribed by Josep Domingo i Ferrer

Publisher: Elsevier Science
Year: 1996
Tongue: English
Weight: 501 KB
Volume: 60
Category: Article
ISSN: 0020-0190
DOI: 10.1016/s0020-0190(96)00170-6

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✦ Synopsis

An additive and multiplicative privacy homomorphism is an encryption function mapping addition and multiplication of cleartext data into two operations on encrypted data. One such privacy homomorphism is introduced which has the novel property of seeming secure against a known-cleartext attack. An application to multilevel statistical computation is presented, namely classified retrieval of exact statistics from unclassified computation on disclosure-protected (perturbed) data.

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