A deep learning approach for detecting security attacks on blockchain

F Scicchitano, A Liguori, M Guarascio… - CEUR Workshop …, 2020 - air.uniud.it
… We also review how machine learning and blockchain technology have been combined in
… 3 Methodology In this section we devise a machine learning approach to identify anomalies …

Machine learning-based analysis of cryptocurrency market financial risk management

Z Shahbazi, YC Byun - Ieee access, 2022 - ieeexplore.ieee.org
… through cryptocurrency and … machine learning applied on the cryptocurrency framework.
The process of professional accounting in term of inherent risk connected with cryptocurrency

Do supply chain related factors enhance the prediction accuracy of blockchain adoption? A machine learning approach

W Guan, W Ding, B Zhang, J Verny, R Hao - Technological Forecasting and …, 2023 - Elsevier
… This study employs a machine learning approach to examine … can improve the prediction
accuracy of blockchain technology (BT) … Vector Machine stands out among all machine learning

Ensemble of machine learning algorithms for cryptocurrency investment with different data resampling methods

TA Borges, RF Neves - Applied Soft Computing, 2020 - Elsevier
Machine learning methodologies are able of uncovering … To achieve this goal, several
supervised machine learning … However, this work focuses on the cryptocurrency exchange …

A Systematic Review of Adoption of Blockchain and Machine Learning Technology and Its Application

S Tiwari, N Dhanda, H Dev - Soft Computing for Security Applications …, 2022 - Springer
Blockchain and machine learning are two new technologies. The first improves the security
Blockchain is recognized for its ability to develop trust-based solutions. Blockchain is …

Machine learning and blockchain integration for security applications

A Bhandari, AK Cherukuri… - Big Data Analytics and …, 2023 - taylorfrancis.com
… models and data for machine learning, while machine learning provides intelligent decision-…
in Blockchain networks. This work highlights how an interplay between Blockchain and ML …

BCOOL: A novel blockchain congestion control architecture using dynamic service function chaining and machine learning for next generation vehicular networks

S Maaroufi, S Pierre - IEEE Access, 2021 - ieeexplore.ieee.org
… Other works proposed Blockchain-based approaches for secure data … Blockchain congestion
prediction systems. We present the first, novel, dynamic, resilient and consistent Blockchain

[HTML][HTML] Improved classification of blockchain transactions using feature engineering and ensemble learning

C Jatoth, R Jain, U Fiore, S Chatharasupalli - Future Internet, 2021 - mdpi.com
… After training Machine Learning classifiers on the dataset, we observe an improvement in …
published writing that is relevant to our methodology. After a brief recapitulation (Section 3) of …

[HTML][HTML] Blockchain secured dynamic machine learning pipeline for manufacturing

F Stodt, J Stodt, C Reich - Applied Sciences, 2023 - mdpi.com
… This section introduces the research methodology used. The method follows the “Systematic
Literature Review” method developed by Okoli and Schabram [18], and adapted by Dr. Heil …

Applying machine learning models on blockchain platform selection

C Dubey, D Kumar, AK Singh, VK Dwivedi - International Journal of …, 2024 - Springer
… introduces a methodology that can be followed when choosing a blockchain platform. The
goal of this paper will be to create a methodology to choose the best blockchain platform to …