UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

High-Frequency Trading on Decentralized On-Chain Exchanges

Zhou, Liyi; Qin, Kaihua; Torres, Christof Ferreira; Le, Duc V; Gervais, Arthur; (2021) High-Frequency Trading on Decentralized On-Chain Exchanges. In: 2021 IEEE Symposium on Security and Privacy (SP). (pp. pp. 428-445). IEEE: San Francisco, CA, USA. Green open access

[thumbnail of 2009.14021.pdf]
Preview
PDF
2009.14021.pdf - Other

Download (3MB) | Preview

Abstract

Decentralized exchanges (DEXs) allow parties to participate in financial markets while retaining full custody of their funds. However, the transparency of blockchain-based DEX in combination with the latency for transactions to be processed, makes market-manipulation feasible. For instance, adversaries could perform front-running — the practice of exploiting (typically non-public) information that may change the price of an asset for financial gain.In this work we formalize, analytically exposit and empirically evaluate an augmented variant of front-running: sandwich attacks, which involve front- and back-running victim transactions on a blockchain-based DEX. We quantify the probability of an adversarial trader being able to undertake the attack, based on the relative positioning of a transaction within a blockchain block. We find that a single adversarial trader can earn a daily revenue of over several thousand USD when performing sandwich attacks on one particular DEX — Uniswap, an exchange with over 5M USD daily trading volume by June 2020. In addition to a single-adversary game, we simulate the outcome of sandwich attacks under multiple competing adversaries, to account for the real-world trading environment.

Type: Proceedings paper
Title: High-Frequency Trading on Decentralized On-Chain Exchanges
Event: 2021 IEEE Symposium on Security and Privacy (SP)
Dates: 24 May 2021 - 27 May 2021
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/sp40001.2021.00027
Publisher version: https://doi.org/10.1109/SP40001.2021.00027
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10182332
Downloads since deposit
4Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item