A New Framework for Fraud Detection in Bitcoin Transactions Through Ensemble Stacking Model in Smart Cities-Reference-Cited by-同舟云学术

A New Framework for Fraud Detection in Bitcoin Transactions Through Ensemble Stacking Model in Smart Cities

Author:

Nayyer Noor¹,Javaid Nadeem¹^ORCID,Akbar Mariam¹,Aldegheishem Abdulaziz²^ORCID,Alrajeh Nabil³^ORCID,Jamil Mohsin⁴^ORCID

Affiliation:

1. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

2. Department of Urban Planning, College of Architecture and Planning, King Saud University, Riyadh, Saudi Arabia

3. Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia

4. Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John’s, Canada

Funder

King Saud University, Riyadh, Saudi Arabia, through the Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference55 articles.

4. A survey on detection and classification of ransomware Bitcoin transactions;karim,2021

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Anomaly Detection on Blockchain in Financial Fields: A Comprehensive Survey;2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI);2024-05-24

4. Fraud Detection in Credit Card Using Competitive Swarm Optimization with Support Vector Machine;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

5. A Literature Survey on Transaction and Phishing URL Fraud Detection System;International Journal of Advanced Research in Science, Communication and Technology;2024-02-08