In the context of data becoming increasingly important, protecting personal information and business secrets is essential. Three prominent technologies in this field are FHE, ZK, and MPC. Each technology offers a unique solution to different security issues. Now let's try to compare a bit to understand better. 👉1. FHE: allows performing computations directly on encrypted data without the need for decryption. → This is particularly useful for Cloud Computing applications or processing sensitive data such as healthcare, finance... Frameworks like Concrete are making FHE more accessible and efficient. 👉2. ZK: focuses on proving the correctness of information without revealing any details about that information. → ZK is very powerful in validating identity or private transactions on the blockchain, especially in zk rollup solutions that help increase scalability. 👉3. MPC: allows multiple parties to jointly perform a computation on their private data without sharing the original data. → MPC is often used for decentralized cryptocurrency wallets or collaborative data analysis between multiple organizations without disclosing sensitive information from each party. The choice of which technology to use depends on specific requirements: FHE for processing encrypted data, ZK for proof without disclosure, and MPC for joint computation among multiple parties. Currently, @zama_fhe can be said to be leading in FHE technology, and the #ZamaCreatorProgram is attracting a lot of interest and participation. Name the projects you know that use one of these 3 technologies!
UPdate @zama_fhe FHEVM v0.9! Notable improvements of FHEVM v0.9 👉Allows the creation of FHE and CRS keys directly on-chain through the Gateway. → Reduces reliance on off-chain systems, increases transparency and verification of the key generation process, while ensuring cryptographic validity in a decentralized model. 👉Governance mechanism using PauserSet with multiple controlling addresses. → Allows for safer stopping or restarting of contracts, quicker response to incidents, and enhanced security with multiple KMS nodes and coprocessors in operation. 👉Redesigned decryption flow and allows for flexible management of coprocessors. → Improves scalability, consensus processing performance, and reduces latency, which is crucial for applications like DeFi or identity that require fast processing. Previous versions laid the theoretical and technical groundwork, but v0.9 focuses on addressing operational, security, scalability, and developer experience challenges so that FHE can be widely applied in real-world applications. #ZamaCreatorProgram #Zama
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