Anomaly Detection for Industrial Control Systems Using K-Means and Convolutional Autoencoder.
Chun-Pi ChangWen-Chiao HsuI-En LiaoPublished in: SoftCOM (2019)
Keyphrases
- anomaly detection
- k means
- control system
- industrial automation
- restricted boltzmann machine
- intrusion detection
- clustering algorithm
- network traffic
- anomalous behavior
- intrusion detection system
- detecting anomalies
- network intrusion detection
- computer security
- unsupervised anomaly detection
- deep learning
- self organizing maps
- clustering method
- behavior analysis
- expectation maximization
- network anomaly detection
- unsupervised learning
- malware detection
- critical infrastructure
- data sets
- conditional random fields
- network intrusion
- computer vision
- machine learning
- negative selection algorithm
- connectionist systems