Enhancing Intrusion Detection Through Federated Learning With Enhanced Ghost_BiNet and Homomorphic Encryption

Research article (IEEE Access, 2024) · cited 21× · AI/ML
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Enhancing Intrusion Detection Through Federated Learning With Enhanced Ghost_BiNet and Homomorphic Encryption

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Enhancing Intrusion Detection Through Federated Learning With Enhanced Ghost_BiNet and Homomorphic Encryption is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enhancing Intrusion Detection Through Federated Learning With Enhanced Ghost_BiNet and Homomorphic Encryption. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-intrusion-detection-through-federated-learning-with-enhanced-ghost-binet-and-homomorphic-encryption
MLA “Enhancing Intrusion Detection Through Federated Learning With Enhanced Ghost_BiNet and Homomorphic Encryption.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-intrusion-detection-through-federated-learning-with-enhanced-ghost-binet-and-homomorphic-encryption.
BibTeX @misc{4ortxyz_enhancing-intrusion-detection-through-federated-learning-with-enhanced-ghost-binet-and-homomorphic-encryption_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Intrusion Detection Through Federated Learning With Enhanced Ghost_BiNet and Homomorphic Encryption}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-intrusion-detection-through-federated-learning-with-enhanced-ghost-binet-and-homomorphic-encryption}, note = {Accessed: 2026-05-24}}
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