Cover Image

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jia, Yifan, Tian, Ye, Zhang, Liguo, Wang, Yanbin, Sun, Jianguo, Song, Liangliang
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding
by: Jia, Yifan, et al.
Published: (2025)

Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning
by: Sun, Jianguo, et al.
Published: (2024)

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection
by: Sheng, Zhang, et al.
Published: (2025)

IP-Augmented Multi-Modal Malicious URL Detection Via Token-Contrastive Representation Enhancement and Multi-Granularity Fusion
by: Tian, Ye, et al.
Published: (2025)

URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection
by: Tian, Ye, et al.
Published: (2025)

EthCluster: An Unsupervised Static Analysis Method for Ethereum Smart Contract
by: Huang, Hong-Sheng, et al.
Published: (2025)

WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT
by: Tian, Ye, et al.
Published: (2025)

ExDoS: Expert-Guided Dual-Focus Cross-Modal Distillation for Smart Contract Vulnerability Detection
by: Tian, Ye, et al.
Published: (2025)

EthVault: A Secure and Resource-Conscious FPGA-Based Ethereum Cold Wallet
by: Lemayian, Joel Poncha, et al.
Published: (2025)

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories
by: Tian, Ye, et al.
Published: (2025)

Continuous Multi-Task Pre-training for Malicious URL Detection and Webpage Classification
by: Li, Yujie, et al.
Published: (2024)

Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection
by: Liang, Zhihong, et al.
Published: (2025)

Phishing Detection in Ethereum via Temporal Graph Contrastive Learning
by: Wu, Cong, et al.
Published: (2026)

MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
by: Sun, Guokai, et al.
Published: (2025)

Leakage Safe Graph Features for Interpretable Fraud Detection in Temporal Transaction Networks
by: Khaleghpour, Hamideh, et al.
Published: (2026)

PromoGuardian: Detecting Promotion Abuse Fraud with Multi-Relation Fused Graph Neural Networks
by: Li, Shaofei, et al.
Published: (2025)

SAT-BO: Verification Rule Learning and Optimization for FraudTransaction Detection
by: Luo, Mao, et al.
Published: (2025)

The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Survey
by: Liu, Tianxu, et al.
Published: (2024)

Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection
by: Zhou, Jiajun, et al.
Published: (2024)

Benchmarking Fraud Detectors on Private Graph Data
by: Goldberg, Alexander, et al.
Published: (2025)

FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks
by: Xu, Naen, et al.
Published: (2026)

LLM-Assisted Authentication and Fraud Detection
by: Chan, Emunah S-S., et al.
Published: (2026)

Flashback: Enhancing Proposer-Builder Design with Future-Block Auctions in Proof-of-Stake Ethereum
by: Mao, Yifan, et al.
Published: (2024)

Confidential Wrapped Ethereum
by: Chystiakov, Artem, et al.
Published: (2025)

detectGNN: Harnessing Graph Neural Networks for Enhanced Fraud Detection in Credit Card Transactions
by: Sultana, Irin, et al.
Published: (2025)

A Multi-Scale Graph Learning Framework with Temporal Consistency Constraints for Financial Fraud Detection in Transaction Networks under Non-Stationary Conditions
by: Lei, Yiming, et al.
Published: (2026)

Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
by: Alghuried, Ahod, et al.
Published: (2025)

Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection
by: Li, Yuan, et al.
Published: (2026)

FraudFox: Adaptable Fraud Detection in the Real World
by: Butler, Matthew, et al.
Published: (2026)

Explainable Ponzi Schemes Detection on Ethereum
by: Galletta, Letterio, et al.
Published: (2023)

Detecting Financial Bots on the Ethereum Blockchain
by: Niedermayer, Thomas, et al.
Published: (2024)

Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection
by: Liu, Ruitong, et al.
Published: (2024)

Bridging BRC-20 to Ethereum
by: Wang, Qin, et al.
Published: (2023)

Decentralization of Ethereum's Builder Market
by: Yang, Sen, et al.
Published: (2024)

Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention
by: Sha, Qiuwu, et al.
Published: (2025)

TaintSentinel: Path-Level Randomness Vulnerability Detection for Ethereum Smart Contracts
by: Rezaei, Hadis, et al.
Published: (2025)

Commitment Attacks on Ethereum's Reward Mechanism
by: Sarenche, Roozbeh, et al.
Published: (2024)

Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
by: Fok, Jan Lum, et al.
Published: (2025)

Detection and Impact of Debit/Credit Card Fraud: Victims' Experiences
by: Alashwali, Eman, et al.
Published: (2024)

Detection of Crowdsourcing Cryptocurrency Laundering via Multi-Task Collaboration
by: Li, Guang, et al.
Published: (2025)