Phishing Web Page Detection with Semi-Supervised Deep Anomaly Detection

Ouyang, Linshu; Zhang, Yongzheng

doi:10.1007/978-3-030-90022-9_20

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…Most notably, the Decentralized Autonomous Organization (DAO) hack in 2016 and the Parity Wallet hack in 2017 together caused more than $400 million in damages [5]. Phishing, a type of anomaly scoring network, is a cyber-fraud where a trusted organization (online bank, online retailer and so on) is impersonated to send fake emails and provide fake websites to users [6]. The victims often reveal their private information, such as credit card numbers, bank accounts, and ID numbers [7].…”

Section: Introductionmentioning

confidence: 99%

MP-GCN: A Phishing Nodes Detection Approach via Graph Convolution Network for Ethereum

Chen

2022

Applied Sciences

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Blockchain is making a big impact in various applications, but it is also attracting a variety of cybercrimes. In blockchain, phishing transfers the victim’s virtual currency to make huge profits through fraud, which poses a threat to the blockchain ecosystem. To avoid greater losses, Ethereum, one of the blockchain platforms, can provide information to detect phishing fraud. In this study, to effectively detect phishing nodes, we propose a phishing node detection approach as message passing based graph convolution network. We first form a transaction network through the transaction records of Ethereum and then extract the information of nodes effectively via message passing. Finally, we use a graph convolution network to classify the normal and phishing nodes. Experiments show that our method is effective and superior to other existing methods.

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Section: Introductionmentioning

confidence: 99%

MP-GCN: A Phishing Nodes Detection Approach via Graph Convolution Network for Ethereum

Chen

2022

Applied Sciences

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Phishing Web Page Detection with Semi-Supervised Deep Anomaly Detection

Cited by 1 publication

References 14 publications

MP-GCN: A Phishing Nodes Detection Approach via Graph Convolution Network for Ethereum

MP-GCN: A Phishing Nodes Detection Approach via Graph Convolution Network for Ethereum

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