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TFE_Malware_Visualization_and_Classification
TFE_Malware_Visualization_and_Classification Public archiveForked from Tioneb88/TFE_Malware_Visualization_and_Classification
This master thesis is interested in malware visualizations and classification using CNN
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- SEMA Public
SEMA is based on angr, a symbolic execution engine used to extract API calls. Especially, we extend ANGR with strategies to create representative signatures based on System Call Dependency graph (SCDG). Those SCDGs can be exploited in machine learning modules to do classification/detection.
- anonymcmp Public archive
- CWAF_config Public
- lims Public
- PACARU Public
- bugs Public
- malwexp Public archive
- SEMA-quickspan Public archive
- SEMA-Cuckoo Public archive
- TFE_Malware_Visualization_and_Classification Public archive Forked from Tioneb88/TFE_Malware_Visualization_and_Classification
This master thesis is interested in malware visualizations and classification using CNN
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