Machine learning based mobile malware detection using highly imbalanced network traffic.
Zhenxiang ChenQiben YanHongbo HanShanshan WangLizhi PengLin WangBo YangPublished in: Inf. Sci. (2018)
Keyphrases
- network traffic
- malware detection
- anomaly detection
- machine learning
- highly imbalanced
- intrusion detection
- class distribution
- computer networks
- intrusion detection system
- network security
- network intrusion detection
- unsupervised learning
- pattern recognition
- machine learning methods
- data sets
- information extraction
- support vector machine
- imbalanced data
- data mining
- non stationary
- decision trees
- cost sensitive
- model selection
- active learning
- association rules
- feature space
- normal traffic
- learning algorithm
- long range dependence