Poster Abstract: Adapting Pretrained Features for Efficient Unsupervised Acoustic Anomaly Detection.
Zhaoyi LiuSam MichielsWouter JoosenDanny HughesPublished in: IPSN (2022)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- intrusion detection
- unsupervised learning
- anomalous behavior
- novelty detection
- intrusion detection system
- detecting anomalies
- network traffic
- network intrusion detection
- behavior analysis
- detecting anomalous
- computer security
- sparse pca
- detect anomalies
- network anomaly detection
- pattern recognition
- supervised learning
- one class support vector machines
- feature extraction
- feature space
- feature vectors
- co occurrence
- semi supervised
- machine learning
- network security
- negative selection algorithm
- connectionist systems
- cumulative sum
- image segmentation