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openalexJournal Of Big Data2026-07-24

A hybrid deep learning–blockchain framework for reliable fraud detection: a big data–driven approach for real-time FinTech systems

Saad M. Darwish, Noha A. El-Shoafy

Abstract The rapid growth of FinTech systems requires efficient fraud detection mechanisms capable of processing large-scale financial transactions in real time. Traditional rule-based and machine learning approaches often suffer from limited scalability, adaptability, and high f…

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openalexJournal Of Big Data2026-07-24

Stock market trend forecasting using gated recurrent unit deep learning model

R.S. Dubey, G. Satheesh Babu, Sakshi Dubey, Ausif Padder, Sekhar Didde

Stock market forecasting is extremely risky for stockholders and economic analysts. This study aims to explore the correlation between the historical stock data and future stock prices of four prominent companies based on Open, High, Low, Close, and Volume (OHLCV) indicators. To…

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