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Researchers Developed New Threshold Encryption Method

A novel tree-based construction improves data security for encrypted mempools by mitigating maximal extractable value.

Updated on Oct. 14, 2026 in Quantum Computing

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Researchers have introduced a novel tree-based encryption construction designed to improve data security and mitigate transaction-ordering exploitation in decentralized mempools. AI Illustration. Upload story photo >

Researchers have developed a tree-based batched threshold encryption construction to secure data in encrypted mempools. The method mitigates maximal extractable value (MEV) through innovative cryptographic implementations.

Why it matters

This development helps address security concerns in decentralized systems by preventing the exploitation of transaction ordering in encrypted mempools. The technology relies on robust mathematical assumptions to enhance overall system integrity.

The DDH-based implementation processes batches of 1,000 messages in 41 ms of single-thread time. The RLWE-based version supports 1,024 messages at 0.89 MB per ciphertext with 20 seconds of single-thread decryption time.

The details

The construction organizes ciphertexts using an index space and supports various mathematical assumptions including DDH, DCR, LWR, and LWE. The system utilizes a thresholdizable public-key encryption scheme homomorphic over the message space alongside a symmetric-key scheme homomorphic over the key and message space.

Timeline

  1. October 13, 2026: The research paper detailing this encryption construction was published.

The Tech Race

This development represents a significant step in the ongoing effort to harden decentralized finance against exploitative transaction sequencing. It builds upon existing cryptographic foundations to replace older, less efficient methods for securing mempool data.

Users of decentralized systems may benefit from increased protection against transaction manipulation and improved fairness in decentralized finance environments. While the research is currently academic, its eventual integration into software protocols could lead to more secure and predictable digital asset trading.

The takeaway

This new construction provides a viable pathway for reducing transaction exploitation in decentralized networks. Implementing these cryptographic standards can help developers build more resilient infrastructure for future digital finance platforms.

Further reading

For more information on the evolving landscape of data protection, visit the Quantum Computing section.

More information

Read the full details in the academic research paper.