homomorphic decomposition - определение. Что такое homomorphic decomposition
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Что (кто) такое homomorphic decomposition - определение

A FORM OF ENCRYPTION THAT ALLOWS COMPUTATION ON CIPHERTEXTS
Homomorphic Encryption; Privacy homomorphism; Fully homomorphic encryption; Homomorphic computing; Homomorphic cryptography

Lossless join decomposition         
DECOMPOSITION OF A DATABASE RELATION SUCH THAT A NATURAL JOIN OF THE RESULTING RELATIONS YIELDS BACK THE ORIGINAL RELATION
Lossless-join decomposition; Lossless-Join Decomposition
In database design, a lossless join decomposition is a decomposition of a relation R into relations R_1, R_2 such that a natural join of the two smaller relations yields back the original relation. This is central in removing redundancy safely from databases while preserving the original data.
Chemical decomposition         
  • An experiment describing catalytic decomposition of hydrogen peroxide. A concentrated hydrogen peroxide solution can be easily decomposed to water and oxygen.
BREAKDOWN OF A SINGLE ENTITY (NORMAL MOLECULE, REACTION INTERMEDIATE, ETC.) INTO TWO OR MORE FRAGMENTS; OPPOSITE OR REVERSE PROCESS OF A SYNTHESIS REACTION
Decomposition reaction; Decompose (chemistry); Chemical degradation; Chemical breakdown; Decomposition product; Decomposition (chemistry)
Chemical decomposition, or chemical breakdown, is the process or effect of simplifying a single chemical entity (normal molecule, reaction intermediate, etc.) into two or more fragments.
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.

Википедия

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. Homomorphic encryption can be used for privacy-preserving outsourced storage and computation. This allows data to be encrypted and out-sourced to commercial cloud environments for processing, all while encrypted.

For sensitive data, such as health care information, homomorphic encryption can be used to enable new services by removing privacy barriers inhibiting data sharing or increase security to existing services. For example, predictive analytics in health care can be hard to apply via a third party service provider due to medical data privacy concerns, but if the predictive analytics service provider can operate on encrypted data instead, these privacy concerns are diminished. Moreover, even if the service provider's system is compromised, the data would remain secure.