Ensemble Deep Learning-Based Prediction of Fraudulent Cryptocurrency Transactions-Reference-Cited by-同舟云学术

Ensemble Deep Learning-Based Prediction of Fraudulent Cryptocurrency Transactions

Author:

Umer Qasim¹^ORCID,Li Jian-Wei²^ORCID,Ashraf Muhammad Rehan³,Bashir Rab Nawaz³^ORCID,Ghous Hamid⁴

Affiliation:

1. Department of Computer Science, Hanyang University, Seoul, South Korea

2. School of Marxism, Zhejiang Gongshang University, Hangzhou, China

3. Department of Computer Science, COMSATS University Islamabad, Vehari, Pakistan

4. Department of Computer Science, Institute of Southern Punjab, Multan, Pakistan

Funder

National Social Science Fund of China

Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference53 articles.

2. Detection of Bitcoin-based botnets using a one-class classifier;zarpelão;Proc IFIP Int Conf Inf Secur Theory Pract,2018

3. Blockchain and cryptocurrencies;barna,2022

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