Empirical Evaluation of Noise Influence on Supervised Machine Learning Algorithms Using Intrusion Detection Datasets.
Khalid M. Al-GethamiMousa T. Al-AkhrasMohammed AlawairdhiPublished in: Secur. Commun. Networks (2021)
Keyphrases
- empirical evaluation
- intrusion detection
- intrusion detection system
- anomaly detection
- network intrusion detection
- network traffic
- network security
- network traffic data
- supervised machine learning algorithms
- artificial immune
- high detection rate
- data mining
- information security
- network intrusion
- detecting anomalous
- network intrusions
- data sets
- cyber security
- alert correlation
- network attacks
- intrusion detection and prevention
- distributed intrusion detection
- nsl kdd
- object recognition
- training data
- information systems
- information retrieval
- machine learning
- databases