Detecting Zero-Day Intrusion Attacks Using Semi-Supervised Machine Learning Approaches.
Innocent MbonaJan H. P. EloffPublished in: IEEE Access (2022)
Keyphrases
- machine learning approaches
- semi supervised
- network intrusion detection systems
- misuse detection
- intrusion detection
- intrusion detection system
- malicious users
- machine learning
- network intrusion
- machine learning methods
- malicious activities
- intrusion detection and prevention
- machine learning algorithms
- semi supervised learning
- denial of service attacks
- anomaly detection
- data mining
- network intrusions
- labeled data
- detecting malicious
- network security
- pairwise
- unlabeled data
- supervised learning
- data mining methods
- attack scenarios
- countermeasures
- detect malicious
- security threats
- unsupervised learning
- active learning
- watermarking scheme
- network traffic
- dos attacks
- security protocols
- data points
- network intrusion detection
- information retrieval
- data mining techniques