A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic.
Giampaolo BovenziFrancesco CerasuoloAntonio MontieriAlfredo NascitaValerio PersicoAntonio PescapèPublished in: ISCC (2022)
Keyphrases
- learning models
- classification models
- malware detection
- machine learning algorithms
- machine learning
- machine learning models
- decision trees
- loss function
- learning tasks
- classification accuracy
- pattern recognition
- text classification
- image classification
- feature vectors
- feature extraction
- feature selection
- learning algorithm
- feature set
- unsupervised learning
- anomaly detection
- pairwise
- support vector
- supervised learning
- support vector machine
- model selection
- network traffic
- learning problems
- training data