Consideration for Creation of Training Samples for Targeted Malware Detection by Machine Learning.
Ryuya UdaTaeko KotaniPublished in: ICICT (2023)
Keyphrases
- training samples
- malware detection
- machine learning
- learning algorithm
- supervised learning
- malicious executables
- hyperplane
- training set
- anomaly detection
- feature space
- training data
- test sample
- feature selection
- active learning
- pattern recognition
- machine learning algorithms
- decision boundary
- decision trees
- number of training samples
- decision function
- application programming interface
- high dimensional
- reinforcement learning
- base classifiers
- text mining
- text classification
- data mining
- sparse representation
- weak classifiers
- sample set
- face images
- database
- input image
- semi supervised
- support vector machine