concept

Homomorphic Encryption

Homomorphic encryption is a cryptographic technique that allows computations to be performed directly on encrypted data without needing to decrypt it first. This enables secure data processing in untrusted environments, such as cloud servers, while preserving data privacy. The result of the computation remains encrypted and can only be decrypted by the data owner with the appropriate key.

Also known as: HE, FHE, Fully Homomorphic Encryption, Partially Homomorphic Encryption, Homomorphic Cryptography
🧊Why learn Homomorphic Encryption?

Developers should learn homomorphic encryption when building applications that require privacy-preserving data analysis, such as in healthcare, finance, or machine learning on sensitive datasets. It is particularly useful for scenarios where data must be processed by third-party services (e.g., cloud providers) without exposing raw information, ensuring compliance with regulations like GDPR or HIPAA. This technology enables secure outsourcing of computations while maintaining confidentiality.

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