Welcome to our comprehensive guide on Privacy Computation in Finance. This guide aims to provide you with a detailed understanding of the concepts, technologies, and practices involved in ensuring privacy in financial transactions.
Key Concepts
- Privacy Computation: A method that allows computations to be performed on data while maintaining the privacy of the input data.
- Financial Transactions: Any activity involving the transfer of money between parties, including banking, investment, and trading.
Technologies
- Homomorphic Encryption: Allows computations to be performed on encrypted data without decrypting it.
- Secure Multi-Party Computation (SMPC): Enables multiple parties to compute a function over their inputs while keeping those inputs private.
Best Practices
- Data Minimization: Only collect and use the minimum amount of data necessary for a specific purpose.
- Anonymization: Remove or modify personal identifiers from data to protect individual privacy.
Learn More
For a deeper dive into the world of privacy computation in finance, we recommend checking out our detailed Privacy Computation Finance Deep Dive.
Privacy Computation