activity
20222025
most citedTime-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum

19 citations · 21 across the 7 of their papers we have counts for

collaborators
Showing cs.CRShow all

5 papers · 1 filter

cs.CR2025

Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection

Junhao Wu, Yixin Yang, Chengxiang Jin +5

With the widespread adoption of Ethereum, financial frauds such as Ponzi schemes have become increasingly rampant in the blockchain ecosystem, posing significant threats to the sec…

cs.CR2024★ 1 cited

Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection

Jiajun Zhou, Xuanze Chen, Shengbo Gong +4

Ethereum has become one of the primary global platforms for cryptocurrency, playing an important role in promoting the diversification of the financial ecosystem. However, the rela…

cs.CR2024

Dual-view Aware Smart Contract Vulnerability Detection for Ethereum

Jiacheng Yao, Maolin Wang, Wanqi Chen +4

The wide application of Ethereum technology has brought technological innovation to traditional industries. As one of Ethereum's core applications, smart contracts utilize diverse…

cs.CR2022

Dual-channel Early Warning Framework for Ethereum Ponzi Schemes

Jie Jin, Jiajun Zhou, Chengxiang Jin +3

Blockchain technology supports the generation and record of transactions, and maintains the fairness and openness of the cryptocurrency system. However, many fraudsters utilize sma…

cs.CR2022

Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum

Chengxiang Jin, Jie Jin, Jiajun Zhou +2

While blockchain technology triggers new industrial and technological revolutions, it also brings new challenges. Recently, a large number of new scams with a "blockchain" sock-pup…