A Survey of Unsupervised Learning Algorithms for Zero-Day Attacks in Intrusion Detection Systems.
Sunkanmi OluwadareZag ElSayedPublished in: FLAIRS (2023)
Keyphrases
- intrusion detection system
- intrusion detection
- learning algorithm
- network security
- deep architectures
- supervised learning
- computer networks
- network traffic
- anomaly detection
- network intrusion detection
- unsupervised learning
- distributed intrusion detection
- computer security
- cyber security
- cyber attacks
- machine learning
- active learning
- attack detection
- training data
- intrusion prevention
- network intrusion detection systems
- malicious activities
- data mining techniques
- normal behavior
- decision trees
- reinforcement learning
- network intrusion
- alert correlation
- control system
- network intrusions
- computer systems
- databases
- image segmentation
- data mining
- attack scenarios
- high dimensional