Unified Feature Engineering for Detection of Malicious Entities in Blockchain Networks

JS Tharani, Z Hóu, EYA Charles… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Blockchain technology has been integrated into a wide range of applications in various
sectors, such as finance, supply chain, health, and governance. However, the participation …

Feature Engineering for Anomaly Detection and Classification of Blockchain Transactions

S Jeyakumar, E Yugarajah, A Charles, P Rathore… - Authorea …, 2023 - techrxiv.org
The study analysed the importance of blockchain transaction features to identify suspicious
activities. The feature engineering process involves exploiting domain knowledge, applying …

Detecting malicious Ethereum entities via application of machine learning classification

F Poursafaei, GB Hamad, Z Zilic - 2020 2nd conference on …, 2020 - ieeexplore.ieee.org
Malicious activities such as scams and frauds have imposed high costs for financial systems.
The advent of blockchain-based cryptocurrencies such as Ethereum provides …

[PDF][PDF] Combining multiple classifiers using ensemble method for anomaly detection in blockchain networks: A comprehensive review

S Hisham, M Makhtar, AA Aziz - International Journal of …, 2022 - pdfs.semanticscholar.org
Blockchain is one of the most anticipated technology revolutions, with immense promise in
various applications. It is a distributed and encrypted database that can address a range of …

Fraud Detection and Prevention in Blockchain Systems Using Machine Learning

BY Kasula - International Meridian Journal, 2020 - meridianjournal.in
Fraudulent activities pose a significant challenge in the realm of blockchain systems,
undermining their inherent trust and security. This research explores the integration of …

A supervised model to detect suspicious activities in the bitcoin network

KG Al-Hashedi, P Magalingam, N Maarop… - … and Intelligent Systems, 2022 - Springer
Shortly after its official launch in 2009, Bitcoin has gained rapid popularity worldwide, which
in return attracted a variety of people especially malicious attackers, who get the advantage …

Comparative Study Analysis of MachineLearning Algorithms for Anomaly Detection in Blockchain

R Saravanan, S Santhiya, K Shalini… - 2023 International …, 2023 - ieeexplore.ieee.org
Anomaly detection is one of the challenging problems encountered by the modern network
security industry. In these last years, Blockchain technologies have been widely used in …

Detecting malicious blockchain transactions using graph neural networks

ST Jeyakumar, AC Eugene Yugarajah, Z Hóu… - … on Distributed Ledger …, 2023 - Springer
The adoption of blockchain technology within various critical infrastructures is on the rise.
Concurrently, there has been a corresponding increase in its misuse, primarily through the …

[图书][B] A fraud detection system for reducing blockchain transaction risks using explainable graph neural networks

C Li - 2022 - search.proquest.com
With the emergence of blockchain in financial applications, it is critical to assess and
manage the financial risks of fraudulent events to protect customers, minimize loss, and …

Anomaly detection in blockchain using network representation and machine learning

K Martin, M Rahouti, M Ayyash… - Security and Privacy, 2022 - Wiley Online Library
The vast majority of digital currency transactions rely on a blockchain framework to ensure
quick and accurate execution. As such, understanding how a blockchain works is vital to …