Detecting Financial Bots on the Ethereum Blockchain

arXiv:2403.19530v1 Announce Type: cross
Abstract: The integration of bots in Distributed Ledger Technologies (DLTs) fosters efficiency and automation. However, their use is also associated with predatory trading and market manipulation, and can pose threats to system integrity. It is therefore essential to understand the extent of bot deployment in DLTs; despite this, current detection systems are predominantly rule-based and lack flexibility. In this study, we present a novel approach that utilizes machine learning for the detection of financial bots on …

abstract arxiv automation blockchain bot bots cs.cr cs.lg current deployment distributed efficiency ethereum financial however integration integrity manipulation market technologies threats trading type