Predicting the Impact of Android Malicious Samples via Machine Learning.
Junyang QiuWei LuoLei PanYonghang TaiJun ZhangYang XiangPublished in: IEEE Access (2019)
Keyphrases
- machine learning
- computer vision
- machine learning methods
- mobile devices
- data sets
- supervised learning
- learning algorithm
- information extraction
- detect malicious
- knowledge acquisition
- training samples
- machine learning approaches
- learning problems
- data mining
- semi supervised learning
- learning systems
- support vector machine
- natural language processing
- data analysis
- computer science
- malware detection
- artificial intelligence
- text classification
- explanation based learning
- data samples
- smart phones
- mobile applications
- inductive learning
- statistical methods
- machine learning algorithms
- natural language
- support vector
- feature selection
- neural network