Design and Deployment of a Secure Mobile Banking System with AI-Driven Fraud Detection
Аннотация
Recent years have brought about extraordinary growth of mobile banking which triggered fresh security responsibilities for financial institutions operating across digital payment systems. New security protocols have been established yet fraudulent activities evolve across security systems causing the need for advanced detection mechanisms. A novel mobile banking system is examined through this research including its design phase alongside implementation steps and evaluation outcomes for its multi-level security technology which integrates artificial intelligence for detecting fraudulent activities. Our design science research framework led us to build a proof-of-concept system which joins biometric identification with real-time transaction vigilance along with machine learning models trained across different financial data collections. Experimental testing showed the system to deliver a $97.8 \%$ success rate in fraud detection while producing fewer than $0.3 \%$ incorrect results. These results surpassed traditional rule-based systems. The user experience reviews demonstrated that authentication process had security improvements that satisfied 94 percent of test participants without having an impact on workflow convenience. The AI technology combined with security structure proofs that mobile bank frauds are detected the performance is enhanced tremendously and the users do not take a dive. satisfaction rates as per research results.