A new distributed anomaly detection approach for log IDS management based on deep learning.
Murat KocaMuhammed Ali AydinAhmet SertbasAbdül Halim ZaimPublished in: Turkish J. Electr. Eng. Comput. Sci. (2021)
Keyphrases
- anomaly detection
- deep learning
- intrusion detection system
- unsupervised learning
- intrusion detection
- computer networks
- network traffic
- anomalous behavior
- network intrusion detection
- detecting anomalies
- anomaly based intrusion detection
- machine learning
- one class support vector machines
- mental models
- decision support
- object recognition
- normal behavior
- weakly supervised
- feature selection
- network anomaly detection
- misuse detection
- model selection
- data analysis
- decision trees
- learning algorithm
- real world
- data sets