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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 produced had the operations been performed on the unencrypted data.

  3. 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 ...

  4. Confidential computing - Wikipedia

    en.wikipedia.org/wiki/Confidential_computing

    Fully homomorphic encryption (FHE) is a form of encryption that permits users to perform computations on encrypted data without first decrypting it. Confidential computing, in contrast, transfers encrypted data inside a hardware-enforced, access-controlled TEE in the processor and memory, decrypts the data, and performs the required computations.

  5. 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.

  6. 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.

  7. Learning with errors - Wikipedia

    en.wikipedia.org/wiki/Learning_with_errors

    In cryptography, learning with errors (LWE) is a mathematical problem that is widely used to create secure encryption algorithms. [1] It is based on the idea of representing secret information as a set of equations with errors.

  8. Homomorphism - Wikipedia

    en.wikipedia.org/wiki/Homomorphism

    In algebra, a homomorphism is a structure-preserving map between two algebraic structures of the same type (such as two groups, two rings, or two vector spaces).The word homomorphism comes from the Ancient Greek language: ὁμός (homos) meaning "same" and μορφή (morphe) meaning "form" or "shape".

  9. Paillier cryptosystem - Wikipedia

    en.wikipedia.org/wiki/Paillier_cryptosystem

    A notable feature of the Paillier cryptosystem is its homomorphic properties along with its non-deterministic encryption (see Electronic voting in Applications for usage). As the encryption function is additively homomorphic, the following identities can be described: Homomorphic addition of plaintexts