Enhancing Explainability of Machine Learning-based Intrusion Detection Systems.
Thi-Ngoc-Phuc HoThuy-Linh NguyenXuan-Ha NguyenKim-Hung LePublished in: RIVF (2022)
Keyphrases
- intrusion detection system
- machine learning
- intrusion detection
- network security
- anomaly detection
- computer networks
- network intrusion detection
- network traffic
- computer security
- distributed intrusion detection
- intrusion prevention
- network intrusion detection systems
- computer systems
- network intrusions
- data mining
- alert correlation
- attack detection
- cyber attacks
- pattern recognition
- learning algorithm
- network intrusion
- information retrieval
- malicious activities
- attack scenarios
- cyber security
- supervised learning
- active learning
- knowledge discovery
- model selection
- security policies
- reinforcement learning
- misuse detection
- unsupervised learning
- data processing
- text classification