TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection.
Zina ChkirbeneAiman ErbadRidha HamilaAmr MohamedMohsen GuizaniMounir HamdiPublished in: IEEE Access (2020)
Keyphrases
- intrusion detection
- feature selection
- intrusion detection system
- anomaly detection
- classification accuracy
- network traffic
- network intrusion detection
- network security
- feature extraction
- support vector machine
- pattern recognition
- feature space
- support vector
- high detection rate
- feature set
- decision trees
- machine learning
- distributed intrusion detection
- text classification
- model selection
- information security
- alert correlation
- feature subset
- computer security
- credit card fraud detection
- artificial immune
- data mining techniques
- false positives and false negatives
- detecting anomalous
- data mining
- unsupervised learning
- cyber security
- intrusion detection and prevention
- network intrusion
- multi class
- real world
- fraud detection
- high dimensional
- network intrusions
- intrusion prevention
- databases