Privacy computing is a technology set that realizes data analysis and computation on the premise of protecting the data itself from being leaked so as to achieve the "usability and invisibility" of data; Under the premise of fully protecting data and privacy security, realizing the transformation and release of data value.

Kunpay privacy computing technology "KPDTS inside-Hestia", includes the following functions:

Data encryption and secure transmission：The privacy computing system applies encryption algorithms to encrypt sensitive data to ensure the security of data during transmission; including transport-level encryption and end-to-end encryption to prevent man-in-the-middle (MITM) attacks and data eavesdropping.

Privacy protection computing：The private computing system can perform computing operations on encrypted data without decrypting the data. This means that computations can be executed in an encrypted state without revealing the plaintext of the original data.

Data anonymization and desensitization：The privacy computing system can anonymize or desensitize sensitive data to reduce the risk of data association. By using techniques such as data masking, data perturbation, and data generation algorithms, the system can maintain data availability while protecting personal identity and sensitive information.

Access control and rights management：The system restricts the access and use of sensitive data through access control and rights management mechanisms. Only authorized users or computing nodes can access specific data and computing functions to ensure the legal and safe use of data.