What are privacy preserving technologies?
Privacy preserving technologies (PPTs) are methods and techniques used to protect the privacy of individuals or organizations while still allowing for data collection, storage, and analysis. PPTs aim to protect sensitive information from unauthorized access, use, or disclosure while still enabling the data to be used for legitimate purposes such as research or analysis.
Examples of privacy preserving technologies
Soft privacy technologies
Soft privacy technologies are methods that rely on mathematical algorithms and techniques to protect privacy without the use of specialized hardware or secure enclaves. Examples include:
- Data encryption involves the use of cryptographic algorithms to encrypt data, making it unreadable to unauthorized parties.
- Differential privacy adds noise to data before it is shared, making it difficult to identify individual records while still allowing for meaningful analysis of the data as a whole.
- Homomorphic encryption allows computations to be performed on ciphertext rather than plaintext, preserving the privacy of the underlying data.
- Secure multi-party computation enables multiple parties to compute jointly on their sensitive inputs without revealing them to one another.
Hard privacy technologies
Hard privacy technologies are methods that rely on specialized hardware or secure enclaves to protect privacy. One example is:
- Secure hardware refers to the use of secure enclaves, secure processors, or secure memory to protect sensitive data from unauthorized access.
