Detecting smart meter false data attacks using hierarchical feature clustering and incentive weighted anomaly detection.
Martin HigginsBruce StephenDavid WallomPublished in: IET Cyper-Phys. Syst.: Theory & Appl. (2023)
Keyphrases
- anomaly detection
- clustering analysis
- detect anomalies
- intrusion detection
- normal behavior
- data points
- data sets
- detecting anomalous
- detecting anomalies
- computer systems
- computer security
- network intrusion detection
- anomalous behavior
- input data
- data analysis
- training data
- unsupervised learning
- data processing
- data mining techniques
- data assimilation
- clustering algorithm
- unsupervised anomaly detection
- network intrusion
- one class support vector machines
- data mining methods
- network traffic
- pattern mining
- data mining algorithms
- k means
- feature vectors
- reinforcement learning
- feature extraction