anomaly detection on spectrograms using data-driven and fixed dictionary representations.
Mina Abdel-SayedDaniel DuclosGilles FaÿJérôme LacailleMathilde MougeotPublished in: ESANN (2016)
Keyphrases
- anomaly detection
- data driven
- intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- one class support vector machines
- intrusion detection system
- behavior analysis
- unsupervised learning
- unsupervised anomaly detection
- detecting anomalous
- network intrusion detection
- network anomaly detection
- network security
- detect anomalies
- computer security
- neural network
- malware detection
- data sets
- natural language processing
- supervised learning
- training data
- real world