Python
Advanced Analysis of Learning-Based Spam Email Filtering Methods Based on Feature Distribution Differences of Dataset.
Blockchain and FL-Based Secure Architecture for Enhanced External Intrusion Detection in Smart Farming
Aim:
The aim of this research is to develop a secure, scalable, and privacy-preserving architecture for smart farming systems by integrating blockchain, federated learning, and ensemble learning techniques to enhance the detection of external intrusions while ensuring data authenticity, confidentiality, and decentralized decision-making.