M-AdaBoost-A based ensemble system for network intrusion detection.
Ying ZhouThomas A. MazzuchiShahram SarkaniPublished in: Expert Syst. Appl. (2020)
Keyphrases
- network intrusion detection
- ensemble methods
- ensemble learning
- base classifiers
- weak learners
- classifier ensemble
- anomaly detection
- intrusion detection
- network intrusion
- learning algorithm
- training data
- random forests
- fraud detection
- decision tree ensembles
- weak classifiers
- multi class
- ensemble classifier
- network anomaly detection
- majority voting
- base learners
- prediction accuracy
- decision trees
- feature selection
- intrusion detection system
- artificial immune
- face detection
- support vector
- network traffic
- training set
- boosting algorithms
- metadata
- concept drift
- moving objects
- information retrieval
- data mining
- network attacks
- data sets