Blockchain Amplification Attack

Strategies related to the blockchain concept of arbitrage or front/back running, create strong economic incentives for network nodes to reduce latency. Modified nodes, that minimize transaction validation and neglect to filter invalid transactions in the Ethereum peer-to-peer (P2P) network, introduce a novel attack vector---a Blockchain Amplification Attack. An attacker can exploit those modified nodes to amplify invalid transactions thousands of times, posing a security threat to the entire network. To illustrate attack practicality in the current Ethereum main network, we 1) identify thousands of similar attacks in the wild, 2) mathematically model the propagation mechanism, 3) empirically measure model parameters from our monitoring nodes, and 4) compare the performance with other existing Denial-of-Service (DoS) attacks through local simulation. We show that an attacker can amplify network traffic at modified nodes by a factor of 3,600, and cause economic damages of 13,800 times the amount needed to carry out the attack. Despite these risks, aggressive latency reduction may still be profitable to justify the existence of modified nodes. To assess this trade-off, we 1) simulate the transaction validation process in a local network and 2) empirically measure the latency reduction by deploying our modified node in the Ethereum test network. We finally provide mitigation strategies against the blockchain amplification attack.

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Publication Details

Journal
ACM SIGMETRICS Performance Evaluation Review
Published
2025-06-16
DOI
https://doi.org/10.1145/3744970.3727276
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
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article

Blockchain Amplification Attack

Liyi Zhou, Kaihua Qin, Arthur Gervais, Taro Tsuchiya et al.
1 citations
ACM SIGMETRICS Performance Evaluation Review
Blockchain Technology Applications and Security
3.25
article

Blockchain Amplification Attack

Liyi Zhou, Kaihua Qin, Arthur Gervais, Taro Tsuchiya, Nicolas Christin
article en
1 citations

Abstract

Strategies related to the blockchain concept of arbitrage or front/back running, create strong economic incentives for network nodes to reduce latency. Modified nodes, that minimize transaction validation and neglect to filter invalid transactions in the Ethereum peer-to-peer (P2P) network, introduce a novel attack vector---a Blockchain Amplification Attack. An attacker can exploit those modified nodes to amplify invalid transactions thousands of times, posing a security threat to the entire network. To illustrate attack practicality in the current Ethereum main network, we 1) identify thousands of similar attacks in the wild, 2) mathematically model the propagation mechanism, 3) empirically measure model parameters from our monitoring nodes, and 4) compare the performance with other existing Denial-of-Service (DoS) attacks through local simulation. We show that an attacker can amplify network traffic at modified nodes by a factor of 3,600, and cause economic damages of 13,800 times the amount needed to carry out the attack. Despite these risks, aggressive latency reduction may still be profitable to justify the existence of modified nodes. To assess this trade-off, we 1) simulate the transaction validation process in a local network and 2) empirically measure the latency reduction by deploying our modified node in the Ethereum test network. We finally provide mitigation strategies against the blockchain amplification attack.

ACM SIGMETRICS Performance Evaluation ReviewVol. 53(1)
The University of Sydney (AU), Yale University (US), University College London (GB), Carnegie Mellon University (US)
Partnerships for the goals
Openalex Percentile: Top 8%
Blockchain Technology Applications and Security
3.25
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Blockchain Amplification Attack — Liyi Zhou, Kaihua Qin, et al. · ACM SIGMETRICS Performance Evaluation Review (2025) | TGRS Research Map | TGRS