Abnormal transactions detection in the ethereum network using semi-supervised generative adversarial networks

YK Sanjalawe, SR Al-E'mari - IEEE Access, 2023 - ieeexplore.ieee.org
Numerous abnormal transactions have been exposed as a result of targeted attacks on
Ethereum, such as the Ethereum Decentralized Autonomous Organization attack. Exploiting …

Generative adversarial networks for cyber threat hunting in ethereum blockchain

E Rabieinejad, A Yazdinejad, RM Parizi… - … : Research and Practice, 2023 - dl.acm.org
Ethereum blockchain has shown great potential in providing the next generation of the
decentralized platform beyond crypto payments. Recently, it has attracted researchers and …

MTAD: multi-layer temporal transaction anomaly detection in ethereum networks with GNN

B Han, Y Wei, Q Wang, FMD Collibus… - Complex & Intelligent …, 2024 - Springer
In recent years, a surge of criminal activities with cross-cryptocurrency trades have emerged
in Ethereum, the second-largest public blockchain platform. Most of the existing anomaly …

EnLEFD‐DM: Ensemble Learning Based Ethereum Fraud Detection Using CRISP‐DM Framework

L Pahuja, A Kamal - Expert Systems, 2023 - Wiley Online Library
Cryptocurrencies continue to captivate businesses and investors despite market fluctuations.
The number of crypto users has risen rapidly in the last few years, and alarmingly, many …

Detecting malicious accounts on the Ethereum blockchain with supervised learning

N Kumar, A Singh, A Handa, SK Shukla - … 2020, Be'er Sheva, Israel, July 2 …, 2020 - Springer
Ethereum is a blockchain platform where users can transact cryptocurrency as well as build
and deploy decentralized applications using smart contracts. The participants in the …

Graph deep learning based anomaly detection in ethereum blockchain network

V Patel, L Pan, S Rajasegarar - International conference on network and …, 2020 - Springer
Ethereum is one of the largest blockchain networks in the world. Its feature of smart contracts
is unique among the other crypto-currencies and gained wider attention. However, smart …

Bert4eth: A pre-trained transformer for ethereum fraud detection

S Hu, Z Zhang, B Luo, S Lu, B He, L Liu - Proceedings of the ACM Web …, 2023 - dl.acm.org
As various forms of fraud proliferate on Ethereum, it is imperative to safeguard against these
malicious activities to protect susceptible users from being victimized. While current studies …

Graph neural network for ethereum fraud detection

R Tan, Q Tan, P Zhang, Z Li - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
Currently, the blockchain technology has been widely applied to various industries, and has
attracted wide attention. However, because of its unique anonymity, digital currency has …

Ethereum fraud behavior detection based on graph neural networks

R Tan, Q Tan, Q Zhang, P Zhang, Y Xie, Z Li - Computing, 2023 - Springer
Since Bitcoin was first conceived in 2008, blockchain technology has attracted a large
amount of researchers' attention. At the same time, it has also facilitated a variety of …

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 …