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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. Goldwasser–Micali cryptosystem - Wikipedia

    en.wikipedia.org/wiki/Goldwasser–Micali...

    Goldwasser–Micali consists of three algorithms: a probabilistic key generation algorithm which produces a public and a private key, a probabilistic encryption algorithm, and a deterministic decryption algorithm. The scheme relies on deciding whether a given value x is a square mod N, given the factorization (p, q) of N. This can be ...

  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. Microsoft SEAL - Wikipedia

    en.wikipedia.org/wiki/Microsoft_SEAL

    Microsoft SEAL comes with two different homomorphic encryption schemes with very different properties: BFV : [ 5 ] The BFV scheme allows modular arithmetic to be performed on encrypted integers. For applications where exact values are necessary, the BFV scheme is the only choice.

  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. 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.

  8. HEAAN - Wikipedia

    en.wikipedia.org/wiki/HEAAN

    The CKKS scheme basically consists of those algorithms: key Generation, encryption, decryption, homomorphic addition and multiplication, and rescaling. For a positive integer q {\displaystyle q} , let R q := R / q R {\displaystyle R_{q}:=R/qR} be the quotient ring of R {\displaystyle R} modulo q {\displaystyle q} .

  9. 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.