GasTrace: Detecting Sandwich Attack Malicious Accounts in Ethereum

arXiv:2405.19971v1 Announce Type: cross
Abstract: The openness and transparency of Ethereum transaction data make it easy to be exploited by any entities, executing malicious attacks. The sandwich attack manipulates the Automated Market Maker (AMM) mechanism, profiting from manipulating the market price through front or after-running transactions. To identify and prevent sandwich attacks, we propose a cascade classification framework GasTrace. GasTrace analyzes various transaction features to detect malicious accounts, notably through the analysis and modeling of Gas features. In the initial …

abstract arxiv attacks automated cs.cr cs.lg data easy ethereum front identify maker market openness price running through transaction data transactions transparency type