Exploiting Autoencoder-Based Anomaly Detection to Enhance Cybersecurity in Power Grids.
Fouzi HarrouBenamar BouyeddouAbdelkader DairiYing SunPublished in: Future Internet (2024)
Keyphrases
- anomaly detection
- power grids
- intrusion detection
- network intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- intrusion detection system
- network anomaly detection
- negative selection algorithm
- wind power
- detect anomalies
- one class support vector machines
- network security
- cyber security
- power grid
- telecommunication systems
- neural network
- critical infrastructure
- wind speed
- unsupervised learning
- hidden markov models
- data mining