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SoK: Transparent Dishonesty: front-running attacks on Blockchain (1902.05164v3)

Published 13 Feb 2019 in cs.CR, cs.CY, and cs.SI

Abstract: We consider front-running to be a course of action where an entity benefits from prior access to privileged market information about upcoming transactions and trades. Front-running has been an issue in financial instrument markets since the 1970s. With the advent of the blockchain technology, front-running has resurfaced in new forms we explore here, instigated by blockchains decentralized and transparent nature. In this paper, we draw from a scattered body of knowledge and instances of front-running across the top 25 most active decentral applications (DApps) deployed on Ethereum blockchain. Additionally, we carry out a detailed analysis of Status.im initial coin offering (ICO) and show evidence of abnormal miners behavior indicative of front-running token purchases. Finally, we map the proposed solutions to front-running into useful categories.

Citations (213)

Summary

  • The paper systematically classifies front-running attacks into displacement, insertion, and suppression with detailed case studies across DApps.
  • It empirically demonstrates how transparent blockchain data enables adversaries to exploit pending transactions for profit.
  • The study proposes targeted mitigations such as transaction sequencing and commit/reveal schemes to enhance DApp security.

Overview of Front-running Attacks on Blockchain

The paper "SoK: Transparent Dishonesty: Front-running Attacks on Blockchain" by Eskandari et al. systematically examines the phenomenon of front-running within decentralized applications (DApps) on the Ethereum blockchain. Front-running is characterized as an opportunistic action where entities exploit their early access to market information to pre-empt or disrupt pending transactions to their advantage. The paper explores how blockchain's inherent transparency and decentralization facilitate new forms of front-running that deviate from traditional financial markets where the practice has long been an issue.

Key Findings and Taxonomy of Attacks

This compendium of research distinguishes three primary attack vectors: displacement, insertion, and suppression attacks. The classification underscores what adversaries aim to achieve—whether precluding a victim's transaction, altering it through strategic prior actions, or delaying it without regard to its execution. The implications here are twofold: while demonstrating the varied methods adversaries can take, it also lays the groundwork for tailored mitigations depending on the particular characteristics of the DApp ecosystem.

The paper identifies displacement attacks such as those occurring within exchanges and auction systems where adversaries aim for asset acquisition by displacing pending transactions. In insertion attacks, attackers strategically interject transactions to exploit transitional states for profit. Suppression attacks, although less prevalent, involve delays that leverage network congestion mechanisms, most notably seen in the form of adversarial tactics in high-stakes blockchain games.

Technical and Practical Implications

The empirical investigation covers a broad spectrum of DApps—from financial exchanges and crypto-collectibles to decentralized gambling services—illustrating the ubiquitous nature of front-running across diverse applications. The exploration of financial exchanges, which fall particularly susceptible to front-running due to the transparent nature of blockchain, highlights a salient friction point within crypto-economic systems where asset pricing and order integrity remain vulnerable.

Addressing initial coin offerings (ICOs) serves to illustrate front-running in the capital-raising domain, with the detailed case paper of Status.im's token sale revealing miner collusion as a form of structural market manipulation. These case studies elucidate not merely the economic detriment but broaden the ethical discourse concerning equitable access within decentralized platforms.

Mitigation Strategies

The authors articulate several preventative and responsive measures to mitigate front-running:

  1. Transaction Sequencing: By imposing ordering rules (e.g., first-in-first-out, or pseudorandom sequencing), the paper suggests constraining miner discretion which could offset adversarial reordering incentives.
  2. Confidentiality Methods: Employing commit/reveal schemes and enhancing transaction confidentiality are recommended to obscure transaction content until final sequence placement, temporizing adversarial actions.
  3. DApp Design Adjustments: Redesigning DApps to nullify the gains achievable from front-running is posited as an underlying design principle. For instance, adopting call market approaches could avert sequence-sensitive vulnerabilities.

Speculation on Advancements and Ethical Considerations

The perpetuation of front-running as an actionable vector within blockchain prompts a reconsideration of the ethical boundaries and operational tenets underlining decentralization. As decentralized finance progresses, embedding robust anti-front-running frameworks within the infrastructural substratum of blockchains could guard against exploits that challenge the very ethos of trust and fairness decentralized systems aspire to uphold.

The paper concludes urging for an amplified research focus on elevating blockchain-level defenses, suggesting an interdisciplinary approach might be necessary to adequately balance privacy, security, and system functionality in advancing resilient DApp ecosystems. By articulating such a comprehensive overview and analysis, the paper provides a significant resource for the ongoing discourse and development within blockchain security and programmatic paradigms.

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