Anomaly Detection in Smart Grids using Machine Learning.
Prem Kumar Reddy ShabadAbdulmueen AlrashideOsama MohammedPublished in: IECON (2021)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- detecting anomalies
- unsupervised anomaly detection
- computer security
- network intrusion detection
- anomalous behavior
- behavior analysis
- intrusion detection system
- network traffic
- unsupervised learning
- detect anomalies
- one class support vector machines
- text classification
- computer vision
- data mining
- learning algorithm
- network security
- decision trees
- pattern recognition
- information extraction
- active learning
- self organizing maps
- feature selection
- malware detection
- text mining
- supervised learning
- negative selection algorithm
- detecting anomalous
- data assimilation
- evolutionary algorithm