Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking.
Seyed Mohammad Hadi MirsadeghiHayretdin BahsiRisto VaarandiWissem InoubliPublished in: IEEE Access (2023)
Keyphrases
- intrusion detection
- cyber attacks
- intrusion detection system
- class imbalance
- cyber security
- machine learning
- anomaly detection
- learning algorithm
- active learning
- data mining
- network traffic
- network security
- supervised learning
- learning process
- computer systems
- information security
- data mining techniques
- multi class
- reinforcement learning
- decision trees
- intrusion prevention
- computational intelligence
- knowledge discovery
- security policies
- privacy issues
- feature selection