[HTML][HTML] Synergy of blockchain technology and data mining techniques for anomaly detection

A Kamišalić, R Kramberger, I Fister Jr - Applied Sciences, 2021 - mdpi.com
Blockchain and Data Mining are not simply buzzwords, but rather concepts that are playing
an important role in the modern Information Technology (IT) revolution. Blockchain has …

[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 …

Implementation of blockchain consortium to prioritize diabetes patients' healthcare in pandemic situations

G Subramanian, AS Thampy - Ieee Access, 2021 - ieeexplore.ieee.org
Diabetes is a metabolic disorder caused by high blood sugar levels, which can harm the
kidneys, the heart, the eyes, and blood vessels. During the Covid-19 pandemic, diabetes …

Dos attacks on blockchain ecosystem

M Raikwar, D Gligoroski - European conference on parallel processing, 2021 - Springer
Abstract Denial of Service (DoS) attacks are a growing threat in network services. The
frequency and intensity of DoS attacks are rapidly increasing day by day. The immense …

A ddos‐attack detection method oriented to the blockchain network layer

Q Dai, B Zhang, S Dong - Security and Communication …, 2022 - Wiley Online Library
By nature, a traditional attack method, denial‐of‐service (DDoS) attack poses a
considerable threat to the security of the blockchain network layer. This paper proposes a …

[PDF][PDF] The Evolution and Future of Cryptocurrency-Based Fundraising Mechanisms

J Shi, Z **cheng, Y Wang… - The Journal of The …, 2024 - jbba.scholasticahq.com
This scholarly work offers an in-depth analysis of the transformative impact of
cryptocurrencies on fundraising mechanisms, with a particular focus on the evolution from …

Blockchain-data mining fusion for financial anomaly detection: A brief review

HT Tien, K Tran-Trung, VT Hoang - Procedia Computer Science, 2024 - Elsevier
Financial anomalies must be detected in order for financial institutions and regulatory bodies
to manage risks and avoid fraudulent behavior. Financial anomaly detection is the practice …

Identifying user behavior profiles in ethereum using machine learning techniques

JA Valadares, VC Oliveira, JEDA Sousa… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Ethereum is one of the largest blockchain platforms currently that has become a digital
business environment for users. This platform is designed to allow decentralized …

[PDF][PDF] Review of Detection Denial of Service Attacks using Machine Learning through Ensemble Learning

NN Abdulla, RK Hasoun - Iraqi Journal for Computers and Informatics, 2022 - iasj.net
Today's network hacking is more resource-intensive because the goal is to prohibit the user
from using the network's resources when the target is either offensive or for financial gain …

[PDF][PDF] An interpretable ensemble model framework for real-time anomaly detection and prediction of Ethereum blockchain transactions

S Hisham, M Makhtar, AA Aziz - International Journal of Advanced …, 2023 - researchgate.net
The blockchain ecosystem is often referred to as a technology that ensures security.
However, there have been concerns in the real world regarding the security of blockchain …