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[HTML][HTML] Synergy of blockchain technology and data mining techniques for anomaly detection
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 …
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
Blockchain is a distributed ledger technology (DLT) that enables decentralized applications
(DApps) such as Hyperledger, Bitcoin, Ethereum, decentralized finance (DeFi), and non …
(DApps) such as Hyperledger, Bitcoin, Ethereum, decentralized finance (DeFi), and non …
Implementation of blockchain consortium to prioritize diabetes patients' healthcare in pandemic situations
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 …
kidneys, the heart, the eyes, and blood vessels. During the Covid-19 pandemic, diabetes …
Dos attacks on blockchain ecosystem
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 …
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 …
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
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 …
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 …
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 …
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 …
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
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 …
However, there have been concerns in the real world regarding the security of blockchain …