Deep Learning-based Dimensionality Reduction for Anomaly Detection in Smart Grids.
Anila KousarSaeed AhmedAbdullah AltamimiSu Min KimZafar Ali KhanPublished in: ICTC (2023)
Keyphrases
- anomaly detection
- deep learning
- dimensionality reduction
- unsupervised learning
- intrusion detection
- principal component analysis
- high dimensional
- detecting anomalies
- pattern recognition
- network intrusion detection
- unsupervised feature learning
- anomalous behavior
- feature extraction
- intrusion detection system
- feature space
- network traffic
- data points
- feature selection
- negative selection algorithm
- machine learning
- neural network
- named entities
- data sets
- domain specific
- higher order
- information extraction
- k means
- detect anomalies
- natural language
- one class support vector machines
- network anomaly detection
- clustering algorithm