Databricks Certified Data Engineer - Professional
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In collaborative environments where multiple parties process and analyze data without exposing raw data to each other, how can data integrity be ensured and tampering prevented during multi-party computation?
A
Utilize cryptographic hashing techniques to generate secure hashes of data prior to computation. Post-computation, each party verifies integrity by comparing these hashes.
B
Deploy a centralized, trusted third-party auditor to verify data integrity at every computation step, employing digital signatures to confirm data remains unaltered.
C
Adopt trusted execution environments (TEEs) for secure data processing within hardware-protected zones of each party's infrastructure, leveraging hardware-based security for integrity.
D
Integrate a blockchain-based solution to record data transactions and computations on a distributed ledger, offering tamper-evident logs that safeguard data integrity.