Embedding vector generation based on function call graph for effective malware detection and classification.
Xiao-Wang WuYan WangYong FangPeng JiaPublished in: Neural Comput. Appl. (2022)
Keyphrases
- malware detection
- pattern recognition
- feature vectors
- vector space
- classification accuracy
- machine learning
- malicious executables
- text classification
- support vector
- support vector machine
- decision trees
- unsupervised learning
- supervised learning
- anomaly detection
- training set
- feature space
- feature extraction
- low dimensional
- data mining techniques
- model selection
- graph structure
- weighted graph
- graph embedding