Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks.
Tolga ErgenAli Hassan MirzaSuleyman Serdar KozatPublished in: CoRR (2017)
Keyphrases
- anomaly detection
- neural network
- recurrent neural networks
- unsupervised and semi supervised
- connectionist systems
- semi supervised
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- pattern recognition
- maximum margin
- back propagation
- network anomaly detection
- unsupervised learning
- one class support vector machines
- intrusion detection system
- network traffic
- artificial neural networks
- detect anomalies
- negative selection algorithm
- genetic algorithm
- self organizing maps
- learning algorithm
- labeled data
- hidden markov models
- data mining
- data sets