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  2. Homomorphic encryption - Wikipedia

    en.wikipedia.org/wiki/Homomorphic_encryption

    Homomorphic encryption is a form of encryption that allows computations to be performed on encrypted data without first having to decrypt it. The resulting computations are left in an encrypted form which, when decrypted, result in an output that is identical to that of the operations performed on the unencrypted data.

  3. Private set intersection - Wikipedia

    en.wikipedia.org/wiki/Private_set_intersection

    homomorphic encryption Private set intersection is a secure multiparty computation cryptographic technique [ 1 ] that allows two parties holding sets to compare encrypted versions of these sets in order to compute the intersection.

  4. Homomorphic secret sharing - Wikipedia

    en.wikipedia.org/wiki/Homomorphic_secret_sharing

    In cryptography, homomorphic secret sharing is a type of secret sharing algorithm in which the secret is encrypted via homomorphic encryption. A homomorphism is a transformation from one algebraic structure into another of the same type so that the structure is preserved. Importantly, this means that for every kind of manipulation of the ...

  5. HElib - Wikipedia

    en.wikipedia.org/wiki/HElib

    The library implements the Brakerski-Gentry-Vaikuntanathan (BGV) fully homomorphic encryption scheme, as well as optimizations such as Smart-Vercauteren ciphertext packing techniques. [ 4 ] HElib is written in C++ and uses the NTL mathematical library .

  6. Benaloh cryptosystem - Wikipedia

    en.wikipedia.org/wiki/Benaloh_cryptosystem

    Given block size r, a public/private key pair is generated as follows: . Choose large primes p and q such that | (), ⁡ (, /) =, and ⁡ (, ()) =; Set =, = (); Choose such that /.; Note: If r is composite, it was pointed out by Fousse et al. in 2011 [4] that the above conditions (i.e., those stated in the original paper) are insufficient to guarantee correct decryption, i.e., to guarantee ...

  7. Private biometrics - Wikipedia

    en.wikipedia.org/wiki/Private_biometrics

    Private biometrics is a form of encrypted biometrics, also called privacy-preserving biometric authentication methods, in which the biometric payload is a one-way, homomorphically encrypted feature vector that is 0.05% the size of the original biometric template and can be searched with full accuracy, speed and privacy.

  8. Ring learning with errors - Wikipedia

    en.wikipedia.org/wiki/Ring_learning_with_errors

    In post-quantum cryptography, ring learning with errors (RLWE) is a computational problem which serves as the foundation of new cryptographic algorithms, such as NewHope, designed to protect against cryptanalysis by quantum computers and also to provide the basis for homomorphic encryption.

  9. Category:Homomorphic encryption - Wikipedia

    en.wikipedia.org/.../Category:Homomorphic_encryption

    Homomorphic encryption is a form of encryption that permits users to perform computations on its encrypted data without first decrypting it. These resulting computations are left in an encrypted form which, when decrypted, result in an identical output to that produced had the operations been performed on the unencrypted data.