Using Autoencoders for Anomaly Detection and Transfer Learning in IoT.
Chin-Wei TienTse-Yung HuangPing Chun ChenJenq-Haur WangPublished in: Comput. (2021)
Keyphrases
- transfer learning
- anomaly detection
- learning tasks
- intrusion detection
- labeled data
- detecting anomalies
- cross domain
- knowledge transfer
- network intrusion detection
- anomalous behavior
- learning algorithm
- semi supervised learning
- network traffic
- machine learning
- reinforcement learning
- intrusion detection system
- text classification
- transfer knowledge
- one class support vector machines
- negative selection algorithm
- unsupervised learning
- active learning
- network anomaly detection
- text categorization
- text mining
- multi task
- detect anomalies
- unlabeled data
- target domain
- semi supervised
- data mining
- real world
- misuse detection
- activity recognition
- machine learning algorithms
- pairwise
- feature selection
- computer vision