Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human Feedback.
Tong JiaYing LiYong YangGang HuangZhonghai WuPublished in: KDD (2022)
Keyphrases
- anomaly detection
- detecting anomalies
- anomalous behavior
- intrusion detection
- network intrusion detection
- unsupervised anomaly detection
- one class support vector machines
- network traffic
- intrusion detection system
- computer security
- network anomaly detection
- data assimilation
- detecting anomalous
- unsupervised learning
- probabilistic model
- detect anomalies
- neural network
- behavior analysis
- network security
- training data
- normal behavior
- data mining
- data sets
- data mining techniques
- connectionist systems
- cumulative sum
- maximum likelihood