Deep Learning for Anomaly Detection in Log Data: A Survey.
Max LandauerSebastian OnderFlorian SkopikMarkus WurzenbergerPublished in: CoRR (2022)
Keyphrases
- log data
- deep learning
- anomaly detection
- unsupervised learning
- intrusion detection
- anomalous behavior
- network traffic
- detecting anomalies
- data mining techniques
- network intrusion detection
- machine learning
- intrusion detection system
- mental models
- knn
- weakly supervised
- detect anomalies
- negative selection algorithm
- one class support vector machines
- data sets
- supervised learning
- learning process
- pairwise
- pattern recognition
- image processing
- information retrieval
- data mining
- databases