3 posts tagged with "privacy"

This article examines the application of Fully Homomorphic Encryption (FHE) in the Maximal Extractable Value (MEV) space. Our approach allows searchers to blindly backrun user transactions using FHE. This prototype demonstrates how a searcher can compute the future price of a UniswapV2 pool over a user transaction, keeping it encrypted throughout the process. Although this method is not currently practical for deployment, it serves as a foundation for future improvement and expansion, which we discuss in the conclusion.

We are excited to announce that Flashbots is successfully running a block builder inside an SGX enclave, a trusted execution environment (TEE) developed by Intel. The SGX block builder is now live on the Ethereum Sepolia testnet, and soon on mainnet!

Our previous work on running Geth inside SGX demonstrated the technical feasibility of this approach. Now, we’ve made the next step towards block building inside encrypted enclaves, and want to share our key learnings and challenges, as well as the all the code and tooling for running a block builder inside SGX.

At Flashbots, we are exploring trusted execution environments (TEEs) such as SGX, as well as other privacy technologies including Multi-Party Computation and Homomorphic Encryption, as important building blocks for trustless collaboration along the transaction supply chain. This is particularly relevant for applications such as decentralized block building and sharing private orderflow.

Today we are happy to publish our efforts and a number of key learnings about running Geth inside SGX, for others to reuse, experiment with, and build upon.