Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection.
Gabriel CoelhoPedro PereiraLuís Miguel MatosAlexandrine RibeiroEduardo C. NunesAndré L. FerreiraPaulo CortezAndré Luiz PilastriPublished in: AIAI (2021)
Keyphrases
- anomaly detection
- deep belief networks
- unsupervised learning
- deep learning
- intrusion detection
- restricted boltzmann machine
- network traffic
- anomalous behavior
- detecting anomalies
- detect anomalies
- unsupervised anomaly detection
- denoising
- probabilistic model
- network intrusion detection
- one class support vector machines
- intrusion detection system
- network anomaly detection
- behavior analysis
- malware detection
- connectionist systems
- hierarchical models
- detecting anomalous
- computer security
- supervised learning
- cumulative sum
- object recognition
- support vector
- network security
- activity recognition
- dimensionality reduction
- semi supervised