Concept Drift-Based Intrusion Detection For Evolving Data Stream Classification In IDS: Approaches And Comparative Study.
Sugandh SethKuljit Kaur ChahalGurvinder SinghPublished in: Comput. J. (2024)
Keyphrases
- intrusion detection
- concept drift
- comparative study
- data stream classification
- intrusion detection system
- data streams
- anomaly detection
- streaming data
- network intrusion detection
- data stream mining
- network traffic
- non stationary
- classification algorithm
- change detection
- data mining techniques
- alert correlation
- data mining
- distributed intrusion detection
- stream data
- data distribution
- machine learning
- incremental learning
- missing values
- pattern recognition
- k nearest neighbor
- pairwise
- training set
- normal behavior
- data sets