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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM38656

Blockchain Fraud Detection System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM38656

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

YHBT

Yawar Hafiz Bin Taj

AK

Abhimanyu Kalia

SS

Satwik Shukla

Ap

Anu priya

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Abstract

Blockchain fraud detection overcomes difficulties regarding electronic contract exploits, double-spending, and phishing crimes, among additional vulnerabilities in blockchain systems. The combined application of deliberation processes, machine learning, and real-time monitoring boosts protection and detects fraudulent activity in decentralized networks. This system provides an effective barrier against fraud in supply chain, electronic asset executives, and finance by ensuring data authenticity and openness while limiting the involvement of people.

KEYWORDS

Blockchain fraud detection real-time attacks machine learning.

Cite This Article

Yawar Hafiz Bin Taj, Abhimanyu Kalia, Satwik Shukla, Anu priya, "Blockchain Fraud Detection System," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024.

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Publication Date

11/13/2024

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Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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