Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum

arXiv:2210.16863v2 Announce Type: replace
Abstract: With the development of Web 3.0 which emphasizes decentralization, blockchain technology ushers in its revolution and also brings numerous challenges, particularly in the field of cryptocurrency. Recently, a large number of criminal behaviors continuously emerge on blockchain, such as Ponzi schemes and phishing scams, which severely endanger decentralized finance. Existing graph-based abnormal behavior detection methods on blockchain usually focus on constructing homogeneous transaction graphs without distinguishing the heterogeneity of nodes and edges, resulting in partial …

abstract arxiv augmentation blockchain challenges cryptocurrency cs.lg decentralization detection development ethereum feature phishing q-fin.st scams technology type web