Computing Arbitrary Functions of Encrypted Data

doi:10.1145/1666420.1666444

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Computing Arbitrary Functions of Encrypted Data

2010-03-01

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Gentry, Craig *

DOI：10.1145/1666420.1666444

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Abstract

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Suppose that you want to delegate the ability to process your data, without giving away access to it. We show that this separation is possible: we describe a fully homomorphic encryption scheme that keeps data private, but that allows a worker that does not have the secret decryption key to compute any (still encrypted) result of the data, even when the function of the data is very complex. In short, a third party can perform complicated processing of data without being able to see it. Among other things, this helps make cloud computing compatible with privacy.

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