Abstract
Front-running is the malicious, and often illegal, act of both manipulating the order of pending trades and injecting additional trades to make a profit at the cost of other users. In decentralized finance (DeFi), front-running strategies exploit both public knowledge of user trades from transactions pending on the network and the miner’s ability to determine the final transaction order. Given the financial loss and increased transaction load resulting from adversarial front-running in decentralized finance, novel cryptographic protocols have been proposed to mitigate such attacks in the permission-less blockchain setting. We systematize and discuss the state-of-the-art of front-running mitigation in decentralized finance, and illustrate remaining attacks and open challenges.
Original language | English |
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Title of host publication | Financial Cryptography and Data Security. FC 2022 International Workshops - CoDecFin, DeFi, Voting, WTSC, Revised Selected Papers |
Editors | Shin’ichiro Matsuo, Lewis Gudgeon, Daniel Perez Hernandez, Sam Werner, Ariah Klages-Mundt, Thomas Haines, Aleksander Essex, Andrea Bracciali, Massimiliano Sala |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 250-271 |
Number of pages | 22 |
ISBN (Print) | 9783031324147 |
DOIs | |
State | Published - 2023 |
Externally published | Yes |
Event | 26th International Conference on Financial Cryptography and Data Security, FC 2022 - Saint George, Grenada Duration: 2 May 2022 → 6 May 2022 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13412 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 26th International Conference on Financial Cryptography and Data Security, FC 2022 |
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Country/Territory | Grenada |
City | Saint George |
Period | 2/05/22 → 6/05/22 |
Bibliographical note
Publisher Copyright:© 2023, International Financial Cryptography Association.
Funding
J. Hsin-yu Chiang—This work was supported by the PhD School of DTU Compute. B. David—This work was supported by the Concordium Foundation and by the Independent Research Fund Denmark (IRFD) grants number 9040-00399B (TrA2 C), 9131-00075B (PUMA) and 0165-00079B. T. K. Frederiksen—This work was supported by “Sikker brug af følsomme data”, Performance Contract 2020 and “Digital sikkerhed, tillid og dataetik”, Performance Contract 2021–2024, Ministry of Higher Education and Science, Denmark”.
Funders | Funder number |
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Concordium Foundation | |
Uddannelses- og Forskningsministeriet | |
Danmarks Frie Forskningsfond | 0165-00079B, 9040-00399B, 2021–2024, 9131-00075B, TrA2 C |