BankNet: Real-Time Big Data Analytics for Secure Internet Banking

The rapid growth of Internet banking has necessitated advanced systems for secure, real-time decision making. This paper introduces BankNet, a predictive analytics framework integrating big data tools and a BiLSTM neural network to deliver high-accuracy transaction analysis. BankNet achieves excepti...

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Main Authors: Kaushik Sathupadi, Sandesh Achar, Shinoy Vengaramkode Bhaskaran, Nuruzzaman Faruqui, Jia Uddin
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Big Data and Cognitive Computing
Subjects:
Online Access:https://www.mdpi.com/2504-2289/9/2/24
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author Kaushik Sathupadi
Sandesh Achar
Shinoy Vengaramkode Bhaskaran
Nuruzzaman Faruqui
Jia Uddin
author_facet Kaushik Sathupadi
Sandesh Achar
Shinoy Vengaramkode Bhaskaran
Nuruzzaman Faruqui
Jia Uddin
author_sort Kaushik Sathupadi
collection DOAJ
description The rapid growth of Internet banking has necessitated advanced systems for secure, real-time decision making. This paper introduces BankNet, a predictive analytics framework integrating big data tools and a BiLSTM neural network to deliver high-accuracy transaction analysis. BankNet achieves exceptional predictive performance, with a Root Mean Squared Error of 0.0159 and fraud detection accuracy of 98.5%, while efficiently handling data rates up to 1000 Mbps with minimal latency. By addressing critical challenges in fraud detection and operational efficiency, BankNet establishes itself as a robust decision support system for modern Internet banking. Its scalability and precision make it a transformative tool for enhancing security and trust in financial services.
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issn 2504-2289
language English
publishDate 2025-01-01
publisher MDPI AG
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series Big Data and Cognitive Computing
spelling doaj-art-ab97368fc5b442ee85bad0bdd9b2a9cf2025-08-20T02:44:55ZengMDPI AGBig Data and Cognitive Computing2504-22892025-01-01922410.3390/bdcc9020024BankNet: Real-Time Big Data Analytics for Secure Internet BankingKaushik Sathupadi0Sandesh Achar1Shinoy Vengaramkode Bhaskaran2Nuruzzaman Faruqui3Jia Uddin4Google LLC., Sunnyvale, CA 94089, USADepartment of Software Engineering, Walmart Global Tech, Sunnyvale, CA 94086, USAZoom Video Communications, Sanjose, CA 95113, USADepartment of Software Engineering, Daffodil International University, Daffodil Smart City, Birulia, Dhaka 1216, BangladeshAI and Big Data Department, Endicott College, Woosong University, Daejeon 34606, Republic of KoreaThe rapid growth of Internet banking has necessitated advanced systems for secure, real-time decision making. This paper introduces BankNet, a predictive analytics framework integrating big data tools and a BiLSTM neural network to deliver high-accuracy transaction analysis. BankNet achieves exceptional predictive performance, with a Root Mean Squared Error of 0.0159 and fraud detection accuracy of 98.5%, while efficiently handling data rates up to 1000 Mbps with minimal latency. By addressing critical challenges in fraud detection and operational efficiency, BankNet establishes itself as a robust decision support system for modern Internet banking. Its scalability and precision make it a transformative tool for enhancing security and trust in financial services.https://www.mdpi.com/2504-2289/9/2/24Internet bankingreal-time analyticsbig dataBiLSTM networkneural networkfraud detection
spellingShingle Kaushik Sathupadi
Sandesh Achar
Shinoy Vengaramkode Bhaskaran
Nuruzzaman Faruqui
Jia Uddin
BankNet: Real-Time Big Data Analytics for Secure Internet Banking
Big Data and Cognitive Computing
Internet banking
real-time analytics
big data
BiLSTM network
neural network
fraud detection
title BankNet: Real-Time Big Data Analytics for Secure Internet Banking
title_full BankNet: Real-Time Big Data Analytics for Secure Internet Banking
title_fullStr BankNet: Real-Time Big Data Analytics for Secure Internet Banking
title_full_unstemmed BankNet: Real-Time Big Data Analytics for Secure Internet Banking
title_short BankNet: Real-Time Big Data Analytics for Secure Internet Banking
title_sort banknet real time big data analytics for secure internet banking
topic Internet banking
real-time analytics
big data
BiLSTM network
neural network
fraud detection
url https://www.mdpi.com/2504-2289/9/2/24
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AT shinoyvengaramkodebhaskaran banknetrealtimebigdataanalyticsforsecureinternetbanking
AT nuruzzamanfaruqui banknetrealtimebigdataanalyticsforsecureinternetbanking
AT jiauddin banknetrealtimebigdataanalyticsforsecureinternetbanking