Real-Time AI-Powered Fraud Detection in Mobile Payment Apps
DOI:
https://doi.org/10.63345/Keywords:
Real-time AI, Fraud detection, Mobile payment apps, Machine learning, Cybersecurity, Financial technology, BlockchainAbstract
The proliferation of mobile payment applications has revolutionized global financial transactions, enabling speed, convenience, and accessibility. However, this rapid digitization has also given rise to sophisticated fraud schemes such as phishing, identity theft, fake app overlays, and adversarial transaction manipulations. Traditional rule-based fraud detection systems, while still in use, have proven insufficient against evolving cyber threats due to their limited adaptability and high false positive rates. Artificial Intelligence (AI)-powered fraud detection, particularly real-time models, offers an adaptive solution by leveraging machine learning (ML), deep learning (DL), and hybrid frameworks capable of detecting anomalies dynamically. This manuscript provides a comprehensive analysis of real-time AI-powered fraud detection systems in mobile payment applications, covering conceptual frameworks, algorithmic foundations, system architecture, implementation strategies, and challenges.
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