Anomaly Detection in Beehives using Deep Recurrent Autoencoders.
Padraig DavidsonMichael SteiningerFlorian LautenschlagerKonstantin KobsAnna KrauseAndreas HothoPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- deep belief networks
- intrusion detection
- denoising
- network traffic
- detecting anomalies
- unsupervised learning
- network intrusion detection
- anomalous behavior
- unsupervised anomaly detection
- detect anomalies
- network anomaly detection
- computer security
- behavior analysis
- feed forward
- intrusion detection system
- network security
- deep learning
- malware detection
- one class support vector machines
- detecting anomalous
- machine learning
- maximum entropy
- restricted boltzmann machine
- supervised learning
- semi supervised
- artificial neural networks
- negative selection algorithm
- cumulative sum
- high dimensional