Functional encryption

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 F consists of the following four algorithms:

Functional encryption generalizes several existing primitives including Identity-based encryption (IBE) and Attribute-based encryption (ABE). In the IBE case, define F(k,x) to be equal to x when k corresponds to an identity that is allowed to decrypt, and \perp otherwise. Similarly, in the ABE case, define F(k, x) = x when k encodes attributes with permission to decrypt and \perp otherwise.

Background

Functional encryption was proposed by Amit Sahai and Brent Waters in 2005[1] and formalized by Dan Boneh, Amit Sahai and Brent 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

  1. ↑ Sahai, Amit; Brent Waters (2005). "Fuzzy Identity-Based Encryption" (PDF). Proceedings of Eurocrypt 2005.
  2. ↑ Boneh, Dan; Amit Sahai; Brent Waters (2011). "Functional Encryption: Definitions and Challenges" (PDF). Proceedings of Theory of Cryptography Conference (TCC) 2011.
  3. ↑ Goldwasser, Shafi; Yael Kalai; Raluca Ada Popa; Vinod Vaikuntanathan; Nickolai Zeldovich (2013). "Reusable Garbled Circuits and Succinct Functional Encryption" (PDF). Proceedings of STOC 2013.
  4. ↑ Gorbunov, Serge; Hoeteck Wee; Vinod Vaikuntanathan (2013). "Attribute-Based Encryption for Circuits". Proceedings of STOC.
  5. ↑ Sahai, Amit; Brent Waters. "Attribute-Based Encryption for Circuits from Multilinear Maps" (PDF).
  6. ↑ Goldwasser, Shafi; Yael Kalai; Raluca Ada Popa; Vinod Vaikuntanathan; Nickolai Zeldovich (2013). "How to Run Turing Machines on Encrypted Data" (PDF). CRYPTO 2013.
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