What type of study is this?

This is a Quantitative Study study.

September 16, 2025

Blockchain-Based Fraud Detection and Prevention System Enhanced with AI

Puntos clave

The system achieved over 92% accuracy in detecting fraudulent activities, proving its effectiveness.
Using Ethereum smart contracts, the framework facilitates secure access control and reliable audit trails.
AI enables real-time anomaly detection by analyzing user behavior patterns for improved security.
The decentralized solution highlights scalability and adaptability for applications in healthcare and finance.

Resumen

Traditional centralized systems often fail to prevent fraud and ensure data integrity, especially as cyber threats grow more complex. This paper proposes a blockchain-based framework enhanced with artificial intelligence to address these limitations. Blockchain provides secure, tamper-proof storage and smart contract–based access control, while AI enables realtime anomaly detection by analyzing behavioral patterns. The system is built using Ethereum smart contracts and machine learning models, with a modular architecture connecting frontend, backend, and AI components. Evaluation shows over 92% accuracy in fraud detection, efficient response times, and reliable audit trails. The approach proves scalable and suitable for sensitive sectors such as healthcare and finance, offering a secure, intelligent, and decentralized solution for modern data protection

Preguntar a la IA

Me gusta

Guardar