Semi-Supervised Malware Clustering Based on the Weight of Bytecode and API.
Yong FangWenjie ZhangBeibei LiFan JingLei ZhangPublished in: IEEE Access (2020)
Keyphrases
- semi supervised
- source code
- semi supervised learning
- malware detection
- labeled data
- application programming interface
- smart card
- multi view
- open source
- reverse engineering
- supervised learning
- unlabeled data
- semi supervised classification
- unsupervised learning
- static analysis
- virtual machine
- java card
- semi supervised clustering
- api calls
- pairwise
- active learning
- high level
- subspace learning
- co training
- object oriented
- application developers
- pairwise constraints
- control flow
- software systems
- relational databases
- malicious code
- detect malicious