Comparative Analysis of Unsupervised Machine Learning Algorithms for Anomaly Detection in Network Data.
Júnia Maísa OliveiraJônatan AlmeidaDaniel F. MacedoJosé Marcos S. NogueiraPublished in: LATINCOM (2023)
Keyphrases
- machine learning algorithms
- comparative analysis
- anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- learning algorithm
- benchmark data sets
- machine learning
- intrusion detection
- machine learning methods
- detecting anomalies
- decision trees
- network intrusion detection
- learning problems
- network traffic
- network anomaly detection
- anomalous behavior
- supervised learning
- intrusion detection system
- learning tasks
- machine learning approaches
- semi quantitative
- negative selection algorithm
- detect anomalies
- detecting anomalous
- semi supervised
- machine learning models
- training data
- multi class
- standard machine learning algorithms
- self organizing maps