Anomaly detection for process monitoring based on machine learning technique.
Imen HamrouniHajer LahdhiriKhaoula Ben AbdellafouAhamed AljuhaniOkba TaoualiPublished in: Neural Comput. Appl. (2023)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- network intrusion detection
- detecting anomalies
- anomalous behavior
- unsupervised learning
- unsupervised anomaly detection
- detecting anomalous
- intrusion detection system
- pattern recognition
- one class support vector machines
- detect anomalies
- learning algorithm
- network traffic
- information extraction
- data mining
- computer security
- decision trees
- computer vision
- support vector machine
- feature selection
- behavior analysis
- text classification
- malware detection
- natural language processing
- data sets
- network security
- data analysis
- computational intelligence
- genetic algorithm
- supervised learning
- semi supervised
- negative selection algorithm
- neural network
- connectionist systems