Anomaly Detection Using Autoencoder With Feature Vector Frequency Map.
Young-Gyu KimTae-Hyoung ParkPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- feature vectors
- intrusion detection
- network traffic
- anomalous behavior
- detecting anomalies
- network intrusion detection
- unsupervised anomaly detection
- feature extraction
- feature space
- computer security
- behavior analysis
- network security
- intrusion detection system
- support vector machine
- network anomaly detection
- detecting anomalous
- one class support vector machines
- unsupervised learning
- feature set
- machine learning
- activity recognition
- malware detection
- negative selection algorithm
- misuse detection
- image processing