Open access
Jul 2026
SECURE FEDERATED INTRUSION DETECTION USING HOMOMORPHIC ENCRYPTION: A COMPARATIVE STUDY WITH ENSEMBLE LEARNING
Results demonstrate how Homomorphic Encryption enables the security and confidentiality of model aggregation a significant effect to model detection (reducing by only 0.15 percent), which provides a strong privacy-preserving security solution to decentralized IoT networks.
Sa daf, Aasim Zafar, Mohammad Luqman
· International journal of Com... · 0 citations