Today, let's talk about a new technology that sounds very sci-fi and is reassuring to use—MindNetwork's Fully Homomorphic Encryption (FHE).
1. FHE: The "Magic" in the World of Encryption
The biggest highlight of Fully Homomorphic Encryption (FHE) is its ability to perform operations such as addition, subtraction, multiplication, and division directly on ciphertext, while still keeping the results encrypted. In other words, even if the data is on the cloud or circulating among multiple parties, it remains like it's wrapped in an invisible cloak—no one can see its true form, yet they can obtain the correct calculation results. In recent years, with the development of algorithm optimization and hardware acceleration, the efficiency of FHE has greatly improved, moving from theory to large-scale application.
2. MindNetwork's Innovative Practices
1. Shared Private State Mechanism
MindNetwork pioneered the Shared Private State mechanism, bringing the consensus of blockchain and the execution of smart contracts into the encrypted space: each node can only see the data summary they are entitled to, while the overall network can collaboratively generate credible consensus. This not only protects user privacy but also eliminates the security risks of traditional on-chain data "plaintext exposure."
2. FHE Re-staking Protocol
To encourage more participation, MindNetwork designed the FHE Re-staking Protocol. Users stake FHE tokens into the network, which not only provides secure computing power for the network but also earns stable staking rewards. By attracting community strength to support privacy computing and decentralized governance through economic incentives, a win-win situation for both technology and ecology has been achieved.
3. AgenticWorld Ecosystem and HTTPZ Protocol
MindNetwork is not only a base-layer blockchain but also built the AgenticWorld multi-agent ecosystem. On the BNB Chain, over 30,000 AI Agents have been registered and launched, capable of safe reasoning and collaboration in scenarios such as medical privacy protection, supply chain optimization, and financial risk control, leveraging FHE.
4. Future Prospects for Trustworthy AI
With FHE, cross-organizational collaborative modeling and multi-party cooperation are no longer "mystical." Medical institutions can collaboratively train more accurate diagnostic models without leaking patient privacy; fields such as autonomous driving and smart manufacturing can also achieve data connectivity without sacrificing security.
