Log Anomaly Detection Based on Bi-LSTM Feature Extraction.
Yue ZhangDong ZhangFeng GuoXiaotong WangYihai DuanXiaonan ZhangPublished in: DSIT (2022)
Keyphrases
- anomaly detection
- feature extraction
- intrusion detection
- anomalous behavior
- network intrusion detection
- detecting anomalies
- business intelligence
- face recognition
- network anomaly detection
- image processing
- network traffic
- unsupervised anomaly detection
- one class support vector machines
- behavior analysis
- pattern classification
- dimensionality reduction
- feature vectors
- feature selection
- pattern recognition
- network intrusion
- recurrent neural networks
- network security
- detecting anomalous
- computer security
- intrusion detection system
- principal component analysis
- data sets
- unsupervised learning
- cumulative sum
- support vector
- detect anomalies
- malware detection
- hidden markov models
- text mining