Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection.
João VitorinoNuno OliveiraIsabel PraçaPublished in: Future Internet (2022)
Keyphrases
- intrusion detection
- intrusion detection system
- anomaly detection
- network intrusion detection
- network security
- learning algorithm
- learning process
- supervised learning
- data mining techniques
- network traffic
- active learning
- reinforcement learning
- pattern mining
- maximum likelihood
- network intrusion
- lightweight
- network traffic data
- unsupervised learning
- computer systems
- real world
- object detection
- classification accuracy
- object recognition
- metadata
- machine learning
- data mining