🔏Privacy Toolchain

The WebKey privacy toolchain has the following components:

• DP(Differential Privacy)-based privacy API and Tools

• FHE(Fully Homomorphic Encryption)-based Privacy API and Tools

By using the above combination with Core Vault, Developers can develop the oriented end-user privacy DApps.

DP-based Privacy

Differential privacy is a mathematical framework for ensuring the privacy of individuals in the personal data of mobile phone. It can provide a strong guarantee of privacy, allowing analysts to examine data without revealing sensitive information about any individual in the dataset. Professionals use this method as it prevents linkage attacks, making it a good choice for protecting individual data in various scenarios. This assurance of privacy is crucial in research contexts where ethical considerations matter.

FHE-based Privacy

Fully homomorphic encryption (FHE) – a technique that allows data to be processed encrypted without the need for decryption – shows great promise in addressing the privacy issues with personal data.

With FHE, data can be encrypted using a secret key, and then sent to a remote entity for “blind” processing to occur. The results from this processing are also encrypted and returned to the original user, and they can be decrypted by using the original secret key.

In this way, the user can still send data to a computing service and get a response. However, the entity processing that data never needs to see that data, nor does it have to secure it at rest or in transit. In other words, FHE delivers end-to-end encryption for remote computing.