A Confidence-Guided Anomaly Detection Approach Jointly Using Multiple Machine Learning Algorithms.
Xueshuo XieZongming JinQingqi HanShenwei HuangTao LiPublished in: CSS (2) (2019)
Keyphrases
- anomaly detection
- machine learning algorithms
- benchmark data sets
- learning algorithm
- machine learning methods
- machine learning
- intrusion detection
- anomalous behavior
- decision trees
- network intrusion detection
- learning problems
- intrusion detection system
- learning tasks
- network traffic
- detecting anomalies
- network security
- machine learning approaches
- network anomaly detection
- unsupervised anomaly detection
- detect anomalies
- machine learning models
- statistical machine learning
- detecting anomalous
- standard machine learning algorithms
- cumulative sum
- association rules
- feature extraction
- data mining techniques
- negative selection algorithm