An empirical study on utilizing online k-means clustering for intrusion detection purposes.
Remah YounisseQasem Abu Al-HaijaPublished in: SmartNets (2023)
Keyphrases
- intrusion detection
- intrusion detection system
- anomaly detection
- network security
- network intrusion detection
- network traffic
- high detection rate
- information security
- detecting anomalous
- artificial immune
- cyber security
- data mining
- network intrusion detection systems
- false positives and false negatives
- security vulnerabilities
- computer security
- network intrusion
- alert correlation
- fraud detection
- data mining techniques
- object recognition
- training data
- machine learning
- data sets