Homomorphic encryption is a form of encryption with an additional evaluation capability for computing over encrypted data without access to the secret key. Moreover, even if the service provider's system is compromised, the data would remain secure.
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. This allows data to be encrypted and out-sourced to commercial cloud environments for processing, all while encrypted.įor 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. Homomorphic encryption can be used for privacy-preserving outsourced storage and computation. 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. Homomorphic encryption is a form of encryption that permits users to perform computations on its encrypted data without first decrypting it. Various assumptions, including learning with errors, Ring learning with errors or even RSA (multiplicative) and others Form of encryption that allows computation on ciphertexts Homomorphic encryption General
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