A Secure and Privacy-Preserving Federated Learning-Based Intrusion Detection System for SDN Networks Using Homomorphic Encryption

Software-Defined Networking (SDN) has revolutionized network management by separating the control and data planes; nevertheless, this architectural centralization introduces significant security vulnerabilities. To mitigate these risks, Intrusion Detection Systems (IDSs) are widely deployed in SDN e...

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Detalhes bibliográficos

Principais autores:	S. M. Shamim, Yuta Kodera, Md. Arshad Ali, Yasuyuki Nogami
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Access
Assuntos:	Software defined networks federated learning homomorphic encryption intrusion detection system machine learning
Acesso em linha:	https://ieeexplore.ieee.org/document/11511721/
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