Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features.
Andres Robles-DuraznoNaghmeh MoradpoorJames McWhinnieGordon RussellPublished in: IJCNN (2020)
Keyphrases
- real time
- machine learning
- water supply
- pattern recognition
- data mining
- feature extraction
- machine learning approaches
- learning algorithm
- control system
- information extraction
- co occurrence
- low level
- feature engineering
- optimal design
- feature set
- low cost
- supervised learning
- image features
- feature vectors
- computer science
- training data
- databases