An organization wants to run analytics on a sensitive dataset containing personal information. They want to keep the content concealed but still allow the software to process complex queries. Which method would accomplish that goal by permitting operations against protected data?
Homomorphic encryption allows computations on data that remains in an unreadable form, enabling meaningful analysis while protecting the original values. A hash-based approach does not preserve the structure needed for analytic queries and is typically used for integrity checks. External code signature checking ensures software authenticity but does not permit queries on hidden values. Symmetric encryption in offline mode requires revealing the data during the computational process, making it susceptible to exposure.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What is homomorphic encryption?
Open an interactive chat with Bash
How is homomorphic encryption different from traditional encryption methods?
Open an interactive chat with Bash
What are some use cases for homomorphic encryption?