How Much Training Data is Enough? A Case Study for HTTP Anomaly-Based Intrusion Detection.
Rafael EstepaJesús Esteban Díaz VerdejoAntonio Jose EstepaGermán MadinabeitiaPublished in: IEEE Access (2020)
Keyphrases
- training data
- network intrusion detection
- anomaly based intrusion detection
- test data
- website
- training set
- supervised learning
- open source
- data sets
- decision trees
- case study
- classification accuracy
- test set
- training process
- training examples
- learning algorithm
- prior knowledge
- noisy data
- labeled data
- domain knowledge
- data analysis
- machine learning
- test bed
- classification models
- data mining
- intrusion detection
- generalization error
- training dataset
- databases