Revolutionizing DeFi: The Promise of Batched Threshold Encryption
Cryptography/Research

Revolutionizing DeFi: The Promise of Batched Threshold Encryption

Batched Threshold Encryption (BTE) aims to eliminate extractive Maximal Extractable Value (MEV) practices, ensuring fairness in decentralized finance.

Batched Threshold Encryption (BTE) is designed to combat the challenges posed by extractive Maximal Extractable Value (MEV) practices in the world of decentralized finance. It provides constant-sized decryption shares, potentially enhancing transaction privacy for layer-2 rollups.

The Promise of BTE
BTE builds upon threshold cryptography to protect sensitive data while allowing collaboration among multiple parties. Though still primarily in research, BTE has the capacity to dramatically influence how decentralized ledgers operate in the future.

Transaction details can be viewed by all on standard blockchains before being confirmed, creating opportunities for various MEV exploitation tactics, including frontrunning. For instance, during a market downturn, an estimated $2.9 million was extracted through MEV on Ethereum, showcasing the prevalent risk.

To mitigate such issues, researchers propose using encrypted mempool designs, which keep pending transactions hidden until blocks are finalized, thereby hindering prying eyes from manipulating trades. BTE aims to resolve issues associated with existing threshold encryption methods that encounter bottlenecks due to excessive server communication.

Recent Developments in BTE
The approach has evolved, with recent protocols like BEAT-MEV and BEAST-MEV enhancing efficiency further while maintaining the privacy of transactions. These advancements aim to streamline transaction handling and minimize unnecessary computation, paving the way for BTE’s broader adoption in DeFi solutions like CoW Swap and Shutter Network.

This is a pivotal moment for DeFi, where ensuring transaction fairness and privacy through systems like BTE could reshape future engagements in the cryptocurrency ecosystem.

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