Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity.
Blake AndersonDavid A. McGrewPublished in: KDD (2017)
Keyphrases
- machine learning
- decision trees
- machine learning methods
- pattern recognition
- supervised machine learning
- class labels
- supervised learning
- machine learning algorithms
- supervised classification
- feature selection
- support vector machine
- text classification
- classification accuracy
- support vector
- classification algorithm
- training set
- model selection
- pairwise
- information extraction
- feature vectors
- classification scheme
- traffic flow
- classification models
- real time
- unseen data
- spam filtering
- multi label classification
- network traffic
- support vector machine svm
- training samples
- feature space
- training data
- feature extraction
- learning algorithm
- data mining
- data sets