Who is who on Ethereum? Account labeling using heterophilic graph convolutional network

D Lin, J Wu, T Huang, K Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To combat cybercrimes and maintain financial security for the blockchain ecosystem,“know
your customer”(KYC) is an essential and also challenging process due to the pseudonymity …

Defining user spectra to classify Ethereum users based on their behavior

G Bonifazi, E Corradini, D Ursino, L Virgili - Journal of Big Data, 2022 - Springer
Purpose In this paper, we define the concept of user spectrum and adopt it to classify
Ethereum users based on their behavior. Design/methodology/approach Given a time …

Ethereum fraud detection with heterogeneous graph neural networks

H Kanezashi, T Suzumura, X Liu, T Hirofuchi - arxiv preprint arxiv …, 2022 - arxiv.org
While transactions with cryptocurrencies such as Ethereum are becoming more prevalent,
fraud and other criminal transactions are not uncommon. Graph analysis algorithms and …

Defi and nfts hinder blockchain scalability

L Heimbach, Q Kniep, Y Vonlanthen… - … Conference on Financial …, 2023 - Springer
Many classical blockchains are known to have an embarrassingly low transaction
throughput, down to Bitcoin's notorious seven transactions per second limit. Various …

CT-GCN: A phishing identification model for blockchain cryptocurrency transactions

B Fu, X Yu, T Feng - International Journal of Information Security, 2022 - Springer
With the widespread application of blockchain technology, the cyberspace security issue of
phishing has also appeared in the emerging blockchain cryptocurrency ecosystem. Because …

CT-GCN+: a high-performance cryptocurrency transaction graph convolutional model for phishing node classification

B Fu, Y Wang, T Feng - Cybersecurity, 2024 - Springer
Due to the anonymous and contract transfer nature of blockchain cryptocurrencies, they are
susceptible to fraudulent incidents such as phishing. This poses a threat to the property …

RiskSEA: A Scalable Graph Embedding for Detecting On-chain Fraudulent Activities on the Ethereum Blockchain

A Agarwal, L Lu, A Maheswaran, V Mahadevan… - arxiv preprint arxiv …, 2024 - arxiv.org
Like any other useful technology, cryptocurrencies are sometimes used for criminal
activities. While transactions are recorded on the blockchain, there exists a need for a more …

TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks

S Zhang, Y Zhu, D Zhou - Proceedings of the Fourth ACM International …, 2023 - dl.acm.org
Recent years have witnessed a growth of research interest in designing powerful graph
mining algorithms to discover and characterize the structural pattern of interests from …

Surveys on the Security of Ethereum and Hyperledger Fabric Blockchain Platforms

NNMSN Mohd, S Afiqah, S Khadeja… - … on Perceptive and …, 2025 - journals.iium.edu.my
Ethereum and Hyperledger are two popular and well-known block chain platforms which
represent two kinds of application differentiation. Ethereum is a decentralized platform that …

Multi-channel walk embedding based ethereum phishing scam detection method

J Li, H Li, N Cheng, W Zhang, Y Xu… - 2022 IEEE 28th …, 2023 - ieeexplore.ieee.org
With the prevalent adoption of blockchain in the financial system, there has been an
increase in phishing scams on cryptocurrency platforms such as Ethereum, and an effective …