Anomaly Detection for Industrial Control Networks using Machine Learning with the help from the Inter-Arrival Curves.
Basem Al-MadaniAhmad ShawahnaMohammad QureshiPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- network intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- detect anomalies
- unsupervised learning
- unsupervised anomaly detection
- detecting anomalous
- computer security
- cumulative sum
- network security
- intrusion detection system
- one class support vector machines
- decision trees
- computer networks
- behavior analysis
- malware detection
- data mining
- text classification
- negative selection algorithm
- reinforcement learning
- pattern recognition
- information extraction
- natural language processing
- text mining
- computational intelligence
- object recognition
- network intrusion
- supervised learning
- network structure
- learning algorithm