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Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision
The rampant fraudulent activities on Ethereum hinder the healthy development of the
blockchain ecosystem, necessitating the reinforcement of regulations. However, multiple …
blockchain ecosystem, necessitating the reinforcement of regulations. However, multiple …
Time-aware metapath feature augmentation for ponzi detection in ethereum
With the development of Web 3.0 which emphasizes decentralization, blockchain
technology ushers in its revolution and also brings numerous challenges, particularly in the …
technology ushers in its revolution and also brings numerous challenges, particularly in the …
Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph
As the Internet rapidly expands, the increasing complexity and diversity of network activities
pose significant challenges to effective network governance and security regulation …
pose significant challenges to effective network governance and security regulation …
Mixture of Decoupled Message Passing Experts with Entropy Constraint for General Node Classification
The varying degrees of homophily and heterophily in real-world graphs persistently
constrain the universality of graph neural networks (GNNs) for node classification. Adopting …
constrain the universality of graph neural networks (GNNs) for node classification. Adopting …
Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs
Lateral movement is a crucial component of advanced persistent threat (APT) attacks in
networks. Attackers exploit security vulnerabilities in internal networks or IoT devices …
networks. Attackers exploit security vulnerabilities in internal networks or IoT devices …