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Computing on Encrypted Data

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Cryptology and Network Security (CANS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5888))

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Abstract

What if you want to query a search engine, but don’t want to tell the search engine what you are looking for? Is there a way that you can encrypt your query, such that the search engine can process your query without your decryption key, and send back an (encrypted) response that is well-formed and concise (up to some upper bound on length that you specify)? The answer is yes, if you use a “fully homomorphic” encryption scheme. As another application, you can store your encrypted data in the “cloud”, and later ask the server to retrieve only those files that contain a particular (boolean) combination of keywords, without the server being able to “see” either these keywords or your files.

We will present a recent fully homomorphic encryption scheme. In particular, we will highlight the main ideas of the construction, discuss issues concerning the scheme’s performance, and mention other applications.

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© 2009 Springer-Verlag Berlin Heidelberg

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Gentry, C. (2009). Computing on Encrypted Data. In: Garay, J.A., Miyaji, A., Otsuka, A. (eds) Cryptology and Network Security. CANS 2009. Lecture Notes in Computer Science, vol 5888. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10433-6_32

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  • DOI: https://doi.org/10.1007/978-3-642-10433-6_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10432-9

  • Online ISBN: 978-3-642-10433-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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