FED-GEM-CN: A federated dual-CNN architecture with contrastive cross-attention for maritime radar intrusion detection

FED-GEM-CN: A federated dual-CNN architecture with contrastive cross-attention for maritime radar intrusion detection

The escalating complexity of maritime operations and the integration of advanced radar systems have heightened the susceptibility of maritime infrastructures to sophisticated cyber intrusions. Ensuring resilient and privacy-preserving intrusion detection in such environments necessitates innovative...

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Bibliographic Details
Main Author: Md. Alamgir Hossain
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Array
Subjects:
Federated learning for maritime cybersecurity
Dual-CNN architecture
Cross-attention mechanism
Intrusion detection system
Privacy-preserving learning
Multi-head attention networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005625000839
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