LogGT: Cross-system log anomaly detection via heterogeneous graph feature and transfer learning.
Peipeng WangXiuguo ZhangZhiying CaoWeigang XuWangwang LiPublished in: Expert Syst. Appl. (2024)
Keyphrases
- anomaly detection
- transfer learning
- intrusion detection
- knowledge transfer
- anomalous behavior
- learning tasks
- detecting anomalies
- network traffic
- labeled data
- network intrusion detection
- intrusion detection system
- active learning
- machine learning
- reinforcement learning
- machine learning algorithms
- cross domain
- text categorization
- collaborative filtering
- semi supervised learning
- text classification
- network anomaly detection
- multi task
- one class support vector machines
- transfer knowledge
- unsupervised learning
- detect anomalies
- negative selection algorithm
- target domain
- neural network
- activity recognition
- feature vectors
- hidden markov models
- bayesian networks
- semi supervised
- graphical models