Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection

The significant rise of security concerns in conventional centralized learning has promoted federated learning (FL) adoption in building intelligent applications without privacy breaches. In cybersecurity, the sensitive data along with the contextual information and high-quality labeling in each ent...

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Veröffentlicht in:	arXiv.org 2023-09
Hauptverfasser:	Tran Duc Luong, Vuong Minh Tien, Nguyen, Huu Quyen, Do Thi Thu Hien, Phan The Duy, Van-Hau, Pham
Format:	Artikel
Sprache:	eng
Schlagworte:	Cybersecurity Data analysis Machine learning Outliers (statistics) Poisoning Representations Robustness
Online-Zugang:	Volltext
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