AI-Driven Fraud Detection in Digital Banking: A Hybrid Approach using Deep Learning and Anomaly Detection
The rapid digital transformation in the banking sector has introduced new opportunities for efficiency and customer convenience but has also amplified the risks of financial fraud. Traditional fraud detection mechanisms, often reliant on static rule-based systems, struggle to keep pace with the dyna...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Indonésio |
| Publié: |
Islamic University of Indragiri
2026-01-01
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| Collection: | Sistemasi: Jurnal Sistem Informasi |
| Sujets: | |
| Accès en ligne: | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/5757 |
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