Print Email Facebook Twitter LO Title LO: An Accountable Mempool for MEV Resistance Author Nasrulin, B. (TU Delft Data-Intensive Systems) Ishmaev, G. (TU Delft Data-Intensive Systems) Decouchant, Jérémie (TU Delft Data-Intensive Systems) Pouwelse, J.A. (TU Delft Data-Intensive Systems) Date 2023 Abstract Manipulation of user transactions by miners in permissionless blockchain systems is a growing concern. This problem is a pervasive and systemic issue that incurs high costs for users of decentralised applications and is known as Miner Extractable Value (MEV). Furthermore, transaction manipulations create other issues such as congestion, higher fees, and system instability. Detecting transaction manipulations is difficult, even though it is known that they originate from the pre-consensus phase of transaction selection for building blocks, at the base layer of blockchain protocols. In this paper, we summarize known transaction manipulation attacks. We present LO, an accountable base layer protocol designed to detect and mitigate transaction manipulations. LO is built around the accurate detection of transaction manipulations and assignment of blame at the granularity of a single mining node. LO forces miners to log all the transactions they receive into a secure mempool data structure and to process them in a verifiable manner. Overall, LO quickly and efficiently detects censorship, injection or re-ordering attempts. Our performance evaluation shows that LO is also practical and only introduces a marginal performance overhead. Subject BlockchainMempoolAccountabilityTransaction reordering To reference this document use: http://resolver.tudelft.nl/uuid:c31679a7-14f0-4a1e-bf48-0483b3d04647 DOI https://doi.org/10.1145/3590140.3629108 Publisher Association for Computing Machinery (ACM), New York ISBN 979-8-4007-0177-1 Source Middleware 2023 - Proceedings of the 24th ACM/IFIP International Middleware Conference Event Middleware '23, 2023-12-11 → 2023-12-15, Bologna, Italy Series Middleware 2023 - Proceedings of the 24th ACM/IFIP International Middleware Conference Part of collection Institutional Repository Document type conference paper Rights © 2023 B. Nasrulin, G. Ishmaev, Jérémie Decouchant, J.A. Pouwelse Files PDF 3590140.3629108.pdf 2.38 MB Close viewer /islandora/object/uuid:c31679a7-14f0-4a1e-bf48-0483b3d04647/datastream/OBJ/view