{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T16:57:17Z","timestamp":1774630637709,"version":"3.50.1"},"reference-count":57,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,1,26]],"date-time":"2025-01-26T00:00:00Z","timestamp":1737849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Woosong University","award":["2025"],"award-info":[{"award-number":["2025"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/bdcc9020024","type":"journal-article","created":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T06:39:51Z","timestamp":1737959991000},"page":"24","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["BankNet: Real-Time Big Data Analytics for Secure Internet Banking"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1189-2293","authenticated-orcid":false,"given":"Kaushik","family":"Sathupadi","sequence":"first","affiliation":[{"name":"Google LLC., Sunnyvale, CA 94089, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5994-4706","authenticated-orcid":false,"given":"Sandesh","family":"Achar","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, Walmart Global Tech, Sunnyvale, CA 94086, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0726-5403","authenticated-orcid":false,"given":"Shinoy Vengaramkode","family":"Bhaskaran","sequence":"additional","affiliation":[{"name":"Zoom Video Communications, Sanjose, CA 95113, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9306-9637","authenticated-orcid":false,"given":"Nuruzzaman","family":"Faruqui","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, Daffodil International University, Daffodil Smart City, Birulia, Dhaka 1216, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3403-4095","authenticated-orcid":false,"given":"Jia","family":"Uddin","sequence":"additional","affiliation":[{"name":"AI and Big Data Department, Endicott College, Woosong University, Daejeon 34606, Republic of Korea"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1057\/s41264-023-00236-6","article-title":"Adoption and perception of banking customers towards green mode of banking: A demonstration of structural equation modelling","volume":"29","author":"Tyagi","year":"2024","journal-title":"J. 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