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Adaptive attention-based graph representation learning to detect phishing accounts on the ethereum blockchain
With Ethereum blockchain advancement, the Ethereum platform gathers numerous users. In
this context, traditional phishing appears new fraud methods, resulting in significant losses …
this context, traditional phishing appears new fraud methods, resulting in significant losses …
[HTML][HTML] Blockchain-based data breach detection: approaches, challenges, and future directions
In cybersecurity, personal data breaches have become one of the significant issues. This
fact indicates that data breaches require unique detection systems, techniques, and …
fact indicates that data breaches require unique detection systems, techniques, and …
Temporal transaction information-aware Ponzi scheme detection for ethereum smart contracts
In recent years, the frenetic advances of blockchain techniques have promoted the large-
scale application of cryptocurrency and attracted significant attention in the mushrooming …
scale application of cryptocurrency and attracted significant attention in the mushrooming …
Ethereum Phishing Scam Detection Based on Data Augmentation Method and Hybrid Graph Neural Network Model
Z Chen, SZ Liu, J Huang, YH **u, H Zhang, HX Long - Sensors, 2024 - mdpi.com
The rapid advancement of blockchain technology has fueled the prosperity of the
cryptocurrency market. Unfortunately, it has also facilitated certain criminal activities …
cryptocurrency market. Unfortunately, it has also facilitated certain criminal activities …
BiLSTM4DPS: An attention-based BiLSTM approach for detecting phishing scams in ethereum
With the burgeoning adoption of blockchain technology, cryptocurrencies have surged in
popularity, becoming a focal point of global interest. Concurrently, the emergence of …
popularity, becoming a focal point of global interest. Concurrently, the emergence of …
Graph Anomaly Detection with Disentangled Prototypical Autoencoder for Phishing Scam Detection in Cryptocurrency Transactions
As the popularity of cryptocurrencies grows, the threat of phishing scams on trading
networks is growing. Detecting unusual transactions within the complex structure of these …
networks is growing. Detecting unusual transactions within the complex structure of these …
2DynEthNet: A Two-Dimensional Streaming Framework for Ethereum Phishing Scam Detection
In recent years, phishing scams have emerged as one of the most serious crimes on
Ethereum. Existing phishing scam detection methods typically model public transaction …
Ethereum. Existing phishing scam detection methods typically model public transaction …
Learning to traverse cryptocurrency transaction graphs based on transformer network for phishing scam detection
Cryptocurrencies have experienced a surge in popularity, paralleled by an increase in
phishing scams exploiting their transactional networks. Therefore, detecting anomalous …
phishing scams exploiting their transactional networks. Therefore, detecting anomalous …
PSPL: A Ponzi scheme smart contracts detection approach via compressed sensing oversampling-based peephole LSTM
Abstract Decentralized Finance (DeFi) utilizes the key principles of blockchain to improve
the traditional finance system with greater freedom in trade. However, due to the absence of …
the traditional finance system with greater freedom in trade. However, due to the absence of …
TAAD: Time-varying adversarial anomaly detection in dynamic graphs
The timely detection of anomalous nodes that can cause significant harm is essential in real-
world networks. One challenge for anomaly detection in dynamic graphs is the identification …
world networks. One challenge for anomaly detection in dynamic graphs is the identification …