Anomaly Detection in Beehives using Deep Recurrent Autoencoders.
Padraig DavidsonMichael SteiningerFlorian LautenschlagerKonstantin KobsAnna KrauseAndreas HothoPublished in: SENSORNETS (2020)
Keyphrases
- anomaly detection
- denoising
- intrusion detection
- deep belief networks
- detecting anomalies
- feed forward
- network traffic
- unsupervised learning
- network intrusion detection
- unsupervised anomaly detection
- intrusion detection system
- network anomaly detection
- anomalous behavior
- one class support vector machines
- behavior analysis
- detecting anomalous
- deep learning
- network security
- computer security
- network intrusion
- malware detection
- training data
- detect anomalies
- learning algorithm
- decision trees
- function optimization
- data mining
- reinforcement learning
- artificial neural networks