Anomaly Detection for HTTP Using Convolutional Autoencoders.
Seungyoung ParkMyungjin KimSeokwoo LeePublished in: IEEE Access (2018)
Keyphrases
- anomaly detection
- deep belief networks
- restricted boltzmann machine
- unsupervised learning
- denoising
- intrusion detection
- deep learning
- detecting anomalous
- detecting anomalies
- network intrusion detection
- network traffic
- intrusion detection system
- unsupervised anomaly detection
- one class support vector machines
- anomalous behavior
- network anomaly detection
- behavior analysis
- computer security
- conditional random fields
- network security
- detect anomalies
- machine learning
- probabilistic model
- malware detection
- pairwise
- pattern recognition
- normal behavior
- network intrusion
- knowledge discovery
- genetic algorithm
- model selection