enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Homomorphic encryption - Wikipedia

    en.wikipedia.org/wiki/Homomorphic_encryption

    Fully homomorphic encryption (FHE) allows the evaluation of arbitrary circuits composed of multiple types of gates of unbounded depth and is the strongest notion of homomorphic encryption. For the majority of homomorphic encryption schemes, the multiplicative depth of circuits is the main practical limitation in performing computations over ...

  3. Ring learning with errors - Wikipedia

    en.wikipedia.org/wiki/Ring_learning_with_errors

    These computing devices are allowed to process the ciphertext which is output from a homomorphic encryption. In 2011, Brakersky and Vaikuntanathan, published "Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages" which builds a homomorphic encryption scheme directly on the RLWE problem. [17]

  4. Lattice-based cryptography - Wikipedia

    en.wikipedia.org/wiki/Lattice-based_cryptography

    For many cryptographic primitives, the only known constructions are based on lattices or closely related objects. These primitives include fully homomorphic encryption, [13] indistinguishability obfuscation, [41] cryptographic multilinear maps, and functional encryption. [41]

  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. Ideal lattice - Wikipedia

    en.wikipedia.org/wiki/Ideal_lattice

    A fully homomorphic encryption (FHE) scheme is one which allows for computation over encrypted data, without first needing to decrypt. The problem of constructing a fully homomorphic encryption scheme was first put forward by Rivest, Adleman and Dertouzos [17] in 1978, shortly after the invention of RSA by Rivest, Adleman and Shamir. [18]

  7. 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.

  8. OpenFHE - Wikipedia

    en.wikipedia.org/wiki/OpenFHE

    OpenFHE is an open-source cross platform software library that provides implementations of fully homomorphic encryption schemes. [2] OpenFHE is a successor of PALISADE and incorporates selected design features of HElib , HEAAN , and FHEW libraries.

  9. HEAAN - Wikipedia

    en.wikipedia.org/wiki/HEAAN

    HEAAN (Homomorphic Encryption for Arithmetic of Approximate Numbers) is an open source homomorphic encryption (HE) library which implements an approximate HE scheme proposed by Cheon, Kim, Kim and Song (CKKS). [1]