Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets.
Roja AhmadiRobert D. MacredieAllan TuckerPublished in: IDEAL (1) (2018)
Keyphrases
- intrusion detection
- transfer learning
- machine learning
- machine learning algorithms
- learning tasks
- intrusion detection system
- anomaly detection
- cloud computing
- network intrusion detection
- decision trees
- semi supervised learning
- labeled data
- knowledge transfer
- network security
- network traffic
- reinforcement learning
- text classification
- data mining
- cross domain
- collaborative filtering
- active learning
- domain adaptation
- learning algorithm
- detecting anomalous
- text categorization
- training data
- data mining techniques
- feature selection
- learning problems
- supervised learning
- unlabeled data
- data center
- virtual machine
- target domain
- k nearest neighbor
- support vector
- transfer knowledge
- knn
- text mining
- naive bayes
- computer vision
- training samples