Trusted Execution
"Fully Homomorphic Encryption (FHE) enclaves for private on-chain state."
01. Computational Privacy
In UltraNet, privacy is not just about hiding transaction amounts; it's about Confidential Computing. While Zero-Knowledge (ZK) proofs allow you to prove a statement about hidden data, Fully Homomorphic Encryption (FHE)allows the network to perform math on that data without ever seeing the numbers.
02. TFHE-rs Engine
We integrate the Zama TFHE-rs library into the Move Virtual Machine. This enables a new class of confidential smart contracts. Imagine a decentralized exchange (DEX) where the order book is encrypted, preventing front-running and MEV.
compute_add(cipher_a, cipher_b)compute_mul(cipher_a, cipher_b)verify_stark(fhe_trace)03. The Move Virtual Machine
UltraNet uses the Move VM for its resource-oriented safety. We have extended the Move runtime with native FHE instructions. This ensures that assets are physically represented as "Resources" that cannot be duplicated or dropped, even when their underlying values are encrypted ciphertexts.
FHE Gas Multiplier: 5000x
FHE operations are computationally heavy. Our economic model applies a 5000x gas multiplier to homomorphic operations to reflect the real hardware cost (Programmable Bootstrapping) and maintain network stability.