PARTISIABLOCKCHAIN 💎💎#MPCPartisia 🚀🚀

How do ZK proofs differ from multi-party computations (MPC)? 🤔

With ZK proofs, one person has private data and can prove something about it.

Example: Let’s say you want to do a transaction with someone and you want to show them you have enough money. You could prove that without revealing the actual amount.

With MPC, you can have many people with private data, and you can run a more complex query - a computation.

Example: Let’s say you want to calculate an average salary of 3 friends without anyone revealing their salary. Each person could break down their salary into three parts that sum to the total (e.g. for 150 it might be 50 +500 -400). They give just one piece of that sum to each of the others. These are then summed together and eventually divided to calculate the average. Without anyone knowing anything they shouldn't.

That is one way that MPC can work.

Replace salary with any confidential data in this example and you get the idea!

So, ZK proofs are like binary MPC for 1 person.

Each for different use cases. 🤝

Partisia empowers complete data privacy at rest, in transit and in use through MPC, unlocking major use cases in AI, DeFI, Healthcare, RegTech, ID and more.

Our founder Ivan, co inventor of the Merkle-Damgard hash function and pioneer of MPC since 1988, explains.💎💎

Revolutionizing Switzerland’s e-ID: MPC Partisia Develops Privacy-Centric Digital Identity System for the Swiss Government

Following the rejection of the LSIE on March 7, 2021, due to concerns over private companies managing citizens’ data, the Swiss government is collaborating with MPC Partisia to develop a secure, state-run electronic identity (e-ID) system. This new solution prioritizes privacy, decentralized data storage, and minimal information collection.

MPC Partisia’s e-ID system is built on Self-Sovereign Identity (SSI) principles, empowering citizens to control their data and share only what’s necessary—for instance, proving age without disclosing birthdates. Using advanced blockchain and Multi-Party Computation (MPC) technologies, it ensures trust, security, and compliance with privacy standards like the "right to be forgotten."

In addition to its work with the Swiss government, MPC Partisia is also collaborating with Danmarks Statistik, the Danish Health Authority, and partners like DataFair, Enversion, and Innovationsfonden on a groundbreaking project called OSCAR. This initiative leverages Partisia’s expertise to develop innovative, privacy-preserving systems for managing statistical and health data in Denmark.

This collaboration with the Swiss and Danish governments is just the beginning. As the demand for privacy-preserving technologies grows, MPC Partisia is poised for even more partnerships with various government sectors worldwide, expanding the reach of its secure, decentralized identity solutions.

Currently, privacy-focused blockchain solutions like those developed by Partisia are undervalued in the market. However, as demand for secure and private systems grows, these technologies are poised for significant recognition and value increases.

#PrivacyProtection #DigitalIdentity #SwissGovernment #SelfSovereignIdentity #MPCPartisia #DanishHealthAuthority