Search-based test and improvement of machine-learning-based anomaly detection systems.
Maxime CordySteve MullerMike PapadakisYves Le TraonPublished in: ISSTA (2019)
Keyphrases
- anomaly detection
- machine learning
- intrusion detection
- network anomaly detection
- anomalous behavior
- detecting anomalies
- behavior analysis
- network intrusion detection
- unsupervised learning
- intrusion prevention
- connectionist systems
- one class support vector machines
- pattern recognition
- learning algorithm
- computer security
- network traffic
- intrusion detection system
- natural language processing
- information extraction
- computer vision
- unsupervised anomaly detection
- neural network
- text classification
- high dimensional
- data analysis
- bayesian networks
- decision trees
- detecting anomalous
- genetic algorithm