homomorphic semiautomaton - definição. O que é homomorphic semiautomaton. Significado, conceito
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O que (quem) é homomorphic semiautomaton - definição

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

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.
Semiautomaton         
Transition monoid; Semiautomata; S-system; S-automata; S-automaton; Semi-automaton; Semi-automata; Input monoid; Quantum semiautomaton; Characteristic semigroup
In mathematics and theoretical computer science, a semiautomaton is a deterministic finite automaton having inputs but no output. It consists of a set Q of states, a set Σ called the input alphabet, and a function T: Q × Σ → Q called the transition function.
Unique homomorphic extension theorem         
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RESULT IN MATHEMATICAL LOGIC WHICH FORMALIZES THE INTUITION THAT THE TRUTH OR FALSITY OF A STATEMENT CAN BE DEDUCED FROM THE TRUTH VALUES OF ITS PARTS
Theorem of The Unique Homomorphic Extension; Theorem of the unique homomorphic extension
The unique homomorphic extension theorem is a result in mathematical logic which formalizes the intuition that the truth or falsity of a statement can be deduced from the truth values of its parts.Gallier (2003), p.

Wikipédia

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.