CompTIA SecurityX (CAS-005)Security ArchitectureHard
A security architect is designing a data processing pipeline for a machine learning platform handling highly confidential research data. The platform needs to perform computations on encrypted data without decrypting it, to maintain confidentiality throughout the entire processing lifecycle, even when data is 'in use'. Which advanced cryptographic technique is best suited for this requirement?
- AHomomorphic Encryption
- BSymmetric Encryption
- CHashing
- DAsymmetric Encryption
Show answer & explanationAnswer & explanation
Correct answer: A. Homomorphic Encryption
Homomorphic encryption is a cutting-edge cryptographic technique that allows computations to be performed directly on encrypted data, producing an encrypted result which, when decrypted, matches the result of operations performed on the unencrypted data. This directly addresses the requirement to process data 'in use' while maintaining its encrypted state.
Why the other options are wrong
- B. Symmetric encryption requires decryption before computation, exposing the data.
- C. Hashing provides data integrity verification but is not an encryption method and cannot be used for computation on data.
- D. Asymmetric encryption is for secure key exchange and digital signatures, not computation on encrypted data.
Homomorphic Encryption (HE)
A form of encryption that allows computation to be performed on ciphertext, generating an encrypted result which, when decrypted, corresponds to the result of operations performed on the plaintext. It enables privacy-preserving data processing.
- Allows computations on encrypted data without decrypting it.
- Maintains data confidentiality during 'in use' state.
- Computationally intensive and currently limited in practical application.
Memory trick: Homomorphic encryption lets you do math on secrets without ever seeing them.