An Evaluation of Machine Learning-based Anomaly Detection in a SCADA System Using the Modbus Protocol.
Brandon PhillipsEric GamessSri KrishnaprasadPublished in: ACM Southeast Regional Conference (2020)
Keyphrases
- anomaly detection
- machine learning
- intrusion detection
- network anomaly detection
- intrusion detection system
- anomalous behavior
- network intrusion detection
- network traffic
- detecting anomalies
- unsupervised anomaly detection
- one class support vector machines
- unsupervised learning
- network security
- computer security
- detecting anomalous
- behavior analysis
- information extraction
- pattern recognition
- active learning
- negative selection algorithm
- data mining
- learning algorithm
- key management
- control system
- text classification
- malware detection
- cumulative sum
- supervised learning
- decision trees
- computer vision
- high dimensional
- network intrusion
- detect anomalies
- hidden markov models
- semi supervised
- model selection
- computational intelligence