Functional encryption
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Functional encryption is a type of public-key encryption in which possessing a secret key allows one to learn a function of what the ciphertext is encrypting.
More precisely, a functional encryption scheme for a given functionality consists of the following four algorithms:
- : creates a public key and a master secret key .
- : uses the master secret key to generate a new secret key for value .
- : uses the public key to encrypt a message .
- : uses secret key calculate a function of the value encrypts.
Functional encryption generalizes several existing primitives including Identity-based encryption (IBE) and Attribute-based encryption (ABE). In the IBE case, define to be equal to when corresponds to an identity that is allowed to decrypt, and otherwise. Similarly, in the ABE case, define when encodes attributes with permission to decrypt and otherwise.
Background
Functional encryption was proposed by Sahai and Waters in 2005[1] and formalized by Boneh, Sahai and Waters in 2010.[2] Until recently, however, most instantiations of Functional Encryption supported only limited function classes such as boolean formulae. In 2012, several researchers developed Functional Encryption schemes that support arbitrary functions.[3][4][5] [6]
References
- ^ Sahai, Amit (2005). "Fuzzy Identity-Based Encryption" (PDF). Proceedings of Eurocrypt 2005.
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suggested) (help) - ^ Boneh, Dan (2011). "Functional Encryption: Definitions and Challenges" (PDF). Proceedings of Theory of Cryptography Conference (TCC) 2011.
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suggested) (help) - ^ Goldwasser, Shafi (2013). "Reusable Garbled Circuits and Succinct Functional Encryption" (PDF). Proceedings of STOC 2013.
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suggested) (help) - ^ Gorbunov, Serge (2013). "Attribute-Based Encryption for Circuits". Proceedings of STOC.
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suggested) (help) - ^ Sahai, Amit. "Attribute-Based Encryption for Circuits from Multilinear Maps" (PDF).
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suggested) (help) - ^ Goldwasser, Shafi (2013). "How to Run Turing Machines on Encrypted Data" (PDF). CRYPTO 2013.
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