BlindPerm: Efficient MEV Mitigation with an Encrypted Mempool and Permutation

Maximal Extractable Value (MEV) is a crucial challenge in blockchains and cryptocurrencies. A principal countermeasure is using encrypted mempools to hide the transaction payloads until they are committed in a block. However, the existing approaches based on encrypted mempools remain vulnerable to metadata leakage and may not provide sufficient mitigation against block producers due to their sole control in block preparation. In this paper, we propose techniques that utilize randomized permutation on the committed block, offering a multi-layer solution. With a focus on proof-of-stake (PoS) committee-based consensus, we then introduce BlindPerm, a framework that enhances an encrypted mempool with permutation and present various optimizations. Notably, we propose a construction where this enhancement comes at essentially no overhead by piggybacking on the encrypted mempool and without relying on any external entity such as randomness beacon. Further, we illustrate the effectiveness of our solutions by running simulations using historical Ethereum data.

Authors

Institutions

Publication Details

Journal
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
Published
2026-01-01
DOI
https://doi.org/10.4230/lipics.opodis.2025.36
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BlindPerm: Efficient MEV Mitigation with an Encrypted Mempool and Permutation

George Danezis, Philipp Jovanovic, Duc V. Le, Alireza Kavousi
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
Blockchain Technology Applications and Security
article

BlindPerm: Efficient MEV Mitigation with an Encrypted Mempool and Permutation

George Danezis, Philipp Jovanovic, Duc V. Le, Alireza Kavousi
article en

Abstract

Maximal Extractable Value (MEV) is a crucial challenge in blockchains and cryptocurrencies. A principal countermeasure is using encrypted mempools to hide the transaction payloads until they are committed in a block. However, the existing approaches based on encrypted mempools remain vulnerable to metadata leakage and may not provide sufficient mitigation against block producers due to their sole control in block preparation. In this paper, we propose techniques that utilize randomized permutation on the committed block, offering a multi-layer solution. With a focus on proof-of-stake (PoS) committee-based consensus, we then introduce BlindPerm, a framework that enhances an encrypted mempool with permutation and present various optimizations. Notably, we propose a construction where this enhancement comes at essentially no overhead by piggybacking on the encrypted mempool and without relying on any external entity such as randomness beacon. Further, we illustrate the effectiveness of our solutions by running simulations using historical Ethereum data.

Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
Systems, Applications & Products in Data Processing (United Kingdom) (GB), Visa (United States) (US), University College London (GB)
Openalex Percentile: Top 97%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

BlindPerm: Efficient MEV Mitigation with an Encrypted Mempool and Permutation — George Danezis, Philipp Jovanovic, et al. · Leibniz-Zentrum für Informatik (Schloss Dagstuhl) (2026) | TGRS Research Map | TGRS