UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2308014


Registration ID:
522623

Page Number

a88-a91

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Title

Analysis of Fraud Detection in Blockchain system using Machine Learning Algorithms

Abstract

The economy and trust in a blockchain network are significantly impacted by fraudulent transactions. Consensus methods like proof of work or proof of stake can confirm a transaction's validity, but they cannot confirm the identity of the persons that participated in the transaction or verified it. A blockchain network is still susceptible to fraud because of this. Use of machine learning algorithms is one method for eradicating fraud. Both supervised and unsupervised machine learning are possible. In this study, we examine both genuine and fraudulent transactions using supervised machine learning approaches. Additionally, we present a thorough comparative analysis of numerous supervised machine learning methods, such as multilayer perceptron’s, decision trees, Naive Bayes, logistic regression, and others, for the above task.

Key Words

Analysis of Fraud Detection in Blockchain system using Machine Learning Algorithms

Cite This Article

"Analysis of Fraud Detection in Blockchain system using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.a88-a91, August-2023, Available :http://www.jetir.org/papers/JETIR2308014.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Analysis of Fraud Detection in Blockchain system using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppa88-a91, August-2023, Available at : http://www.jetir.org/papers/JETIR2308014.pdf

Publication Details

Published Paper ID: JETIR2308014
Registration ID: 522623
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: a88-a91
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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