csvl
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TFE_Malware_Visualization_and_Classification
TFE_Malware_Visualization_and_Classification PublicForked 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.
csvl/SEMA’s past year of commit activity - CWAF_config Public
csvl/CWAF_config’s past year of commit activity - SEMA-quickspan Public
csvl/SEMA-quickspan’s past year of commit activity - SEMA-Cuckoo Public
csvl/SEMA-Cuckoo’s past year of commit activity - TFE_Malware_Visualization_and_Classification Public Forked from Tioneb88/TFE_Malware_Visualization_and_Classification
This master thesis is interested in malware visualizations and classification using CNN
csvl/TFE_Malware_Visualization_and_Classification’s past year of commit activity
