Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification.
João VitorinoIsabel PraçaEva MaiaPublished in: CoRR (2023)
Keyphrases
- object recognition
- intrusion detection
- unsupervised learning
- anomaly detection
- network security
- intrusion detection system
- learning process
- supervised learning
- classification accuracy
- decision trees
- pattern recognition
- learning algorithm
- artificial immune
- object detection
- databases
- false positives and false negatives
- pairwise
- reinforcement learning
- network traffic
- high detection rate
- detecting anomalous
- detection method
- feature extraction
- smart home
- network intrusion detection
- cyber security
- credit card fraud detection