The increasing adoption internet technology has made cyber security an important concern in the banking industry. Credit card cyber fraud is one of the most serious cyber security threats facing the banking industry. Artificial intelligence can significantly assist the banking industry achieve a more accurate assessment of cyber fraud. To address the banking industry's cyber security concerns, this research will be sought to develop model that employed effective Machine learning (ML) and Deep learning (DL) algorithms to perform well in detecting and predicting with a higher degree of accuracy. This proposed model is projected to be more effective in detecting and preventing transactions from cyber fraud. The banking industry can implement the proposed AI driven model to deliver great efficiency.
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