Integration of Blockchain Technology and Machine Learning in Online Secure Banking System

Blockchain technology offers transformative potential for enhancing the security of online banking systems from the intruders. This paper investigates the application of blockchain in secure banking, focusing on the integration of tools such as MetaMask and Ganache for the implementation of the system and machine learning algorithms to detect the illegaltransactions. Through a comprehensive literature review, methodology, implementation strategies, case-studies, challenges, and future prospects.the paper provides a thorough analysis of blockchain's role in secure online banking system with the help of machine learning. Key findings indicate that blockchain can significantly mitigate fraud, streamline operations, and enhance data integrity, though challenges such as scalability and regulatory compliance must be addressed in the banking systems with the help of machine learning classifying algorithms.

Authors

Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/csitss64042.2024.10816977
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of Blockchain Technology and Machine Learning in Online Secure Banking System

Poornima Kulkarni, Victoria Paul
Blockchain Technology Applications and Security
article

Integration of Blockchain Technology and Machine Learning in Online Secure Banking System

Poornima Kulkarni, Victoria Paul
article en

Abstract

Blockchain technology offers transformative potential for enhancing the security of online banking systems from the intruders. This paper investigates the application of blockchain in secure banking, focusing on the integration of tools such as MetaMask and Ganache for the implementation of the system and machine learning algorithms to detect the illegaltransactions. Through a comprehensive literature review, methodology, implementation strategies, case-studies, challenges, and future prospects.the paper provides a thorough analysis of blockchain's role in secure online banking system with the help of machine learning. Key findings indicate that blockchain can significantly mitigate fraud, streamline operations, and enhance data integrity, though challenges such as scalability and regulatory compliance must be addressed in the banking systems with the help of machine learning classifying algorithms.

Openalex Percentile: Top 61%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.