AI Security / FEDL-XAI
Federated Explainable Deep Learning Framework for Zero-Day Attack Detection
A privacy-preserving AI cybersecurity framework for detecting unknown attacks in encrypted network traffic environments.
Paper Description
FEDL-XAI combines Federated Learning and Explainable Artificial Intelligence to create a security model that can learn from distributed network data without exposing sensitive information. The framework focuses on zero-day attack detection, encrypted traffic analysis, and transparent decision-making.