Robust Anomaly Detection in IoT Networks using Deep SVDD and Contractive Autoencoder
Author:
Affiliation:
1. University of New Orleans,Department of Computer Science,New Orleans,LA,USA,70148
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10553374/10553399/10553592.pdf?arnumber=10553592
Reference27 articles.
1. A novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks
2. Contractive auto-encoders: Explicit invariance during feature extraction;Rifai
3. Deep one-class classification;Ruff
4. Deep learning for anomaly detection: A survey;Chalapathy,2019
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1. Deep clustering hierarchical latent representation for anomaly-based cyber-attack detection;Knowledge-Based Systems;2024-10
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