[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 …

[PDF][PDF] A comprehensive review of significant learning for anomalous transaction detection using a machine learning method in a decentralized blockchain network

S Hisham, M Makhtar, AA Aziz - International Journal of Advanced …, 2022 - researchgate.net
Blockchain is a distributed ledger technology (DLT) that enables decentralized applications
(DApps) such as Hyperledger, Bitcoin, Ethereum, decentralized finance (DeFi), and non …

Anomaly detection in blockchain using machine learning

G Sanjay Rai, SB Goyal, P Chatterjee - Computational Intelligence for …, 2023 - Springer
With the increasing use of Blockchain, community has become increasingly worried about its
security, that has led to substantial research by academics, with anomaly detection being a …

An anomaly detection on blockchain infrastructure using artificial intelligence techniques: Challenges and future directions–A review

V Chithanuru, M Ramaiah - Concurrency and Computation …, 2023 - Wiley Online Library
Recently, Blockchain cryptographic distributed transaction ledger technology finds its usage
in many applications. The application's ledgers implemented through Blockchain, ensures …

Anomaly detection in blockchain

O Shafiq - 2019 - trepo.tuni.fi
Anomaly detection has been a well-studied area for a long time. Its applications in the
financial sector have aided in identifying suspicious activities of hackers. However, with the …

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 …

Anomaly detection in blockchain networks: A comprehensive survey

MU Hassan, MH Rehmani… - … Communications Surveys & …, 2022 - ieeexplore.ieee.org
Over the past decade, blockchain technology has attracted a huge attention from both
industry and academia because it can be integrated with a large number of everyday …

A new framework for fraud detection in bitcoin transactions through ensemble stacking model in smart cities

N Nayyer, N Javaid, M Akbar, A Aldegheishem… - IEEE …, 2023 - ieeexplore.ieee.org
Bitcoin has a reputation of being used for unlawful activities, such as money laundering,
dark web transactions, and payments for ransomware in the context of smart cities …

Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey

C Cholevas, E Angeli, Z Sereti, E Mavrikos… - Algorithms, 2024 - mdpi.com
In decentralized systems, the quest for heightened security and integrity within blockchain
networks becomes an issue. This survey investigates anomaly detection techniques in …

Anomaly Detection on Distributed Ledger Using Unsupervised Machine Learning

T Adam, F Babič - 2023 IEEE International Conference on Omni …, 2023 - ieeexplore.ieee.org
In recent years, blockchain technology has gained widespread attention for its distributed
and immutable ledger system that ensures security and transparency. However, the …