Deep Autoencoder-Based Anomaly Detection of Electricity Theft Cyberattacks in Smart Grids.
Abdulrahman TakiddinMuhammad IsmailUsman ZafarErchin SerpedinPublished in: IEEE Syst. J. (2022)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- one class support vector machines
- computer security
- intrusion detection system
- detect anomalies
- information security
- network intrusion detection
- unsupervised anomaly detection
- network traffic
- unsupervised learning
- network anomaly detection
- negative selection algorithm
- connectionist systems
- electricity markets
- network security
- deep learning
- restricted boltzmann machine
- network intrusion
- data sets
- malware detection
- object recognition
- data mining
- neural network
- detecting anomalous