Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss.
Masaki NakanishiKazuki SatoHideo TeradaPublished in: CoRR (2021)
Keyphrases
- frequency domain
- anomaly detection
- spatial domain
- fourier transform
- intrusion detection
- detecting anomalies
- network intrusion detection
- feature extraction
- network traffic
- anomalous behavior
- cross correlation
- intrusion detection system
- denoising
- network anomaly detection
- subband
- negative selection algorithm
- one class support vector machines
- fast fourier transform
- power spectra
- power spectrum
- detect anomalies
- unsupervised learning
- machine learning
- spectrum analysis
- video sequences
- object recognition
- non stationary