Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains.
Peiyang LiYe WangQi LiZhuotao LiuKe XuJu RenZhiying LiuRuilin LinPublished in: CCS (2023)
Keyphrases
- meta learning
- learning tasks
- learning algorithm
- supervised learning
- training data
- attack detection
- inductive learning
- unsupervised learning
- learning process
- reinforcement learning
- semi supervised
- decision trees
- machine learning algorithms
- database systems
- information extraction
- model selection
- software systems
- feature selection
- metamodel
- machine learning