A dynamic Windows malware detection and prediction method based on contextual understanding of API call sequence
E Amer, I Zelinka - Computers & Security, 2020 - Elsevier
Malware API call graph derived from API call sequences is considered as a representative
technique to understand the malware behavioral characteristics. However, it is troublesome …
technique to understand the malware behavioral characteristics. However, it is troublesome …
[引用][C] A dynamic Windows malware detection and prediction method based on contextual understanding of API call sequence
E Amer, I Zelinka - 2020 - dspace.vsb.cz
Malware API call graph derived from API call sequences is considered as a representative
technique to understand the malware behavioral characteristics. However, it is troublesome …
technique to understand the malware behavioral characteristics. However, it is troublesome …
[PDF][PDF] A dynamic Windows malware detection and prediction method based on contextual understanding of API call sequence
E Amer, I Zelinka - academia.edu
Malware API call graph derived from API call sequences is considered as a representative
technique to understand the malware behavioral characteristics. However, it is troublesome …
technique to understand the malware behavioral characteristics. However, it is troublesome …
[PDF][PDF] A dynamic Windows malware detection and prediction method based on contextual understanding of API call sequence
E Amer, I Zelinka - 2020 - researchgate.net
abstract Malware API call graph derived from API call sequences is considered as a
representative technique to understand the malware behavioral characteristics. However, it …
representative technique to understand the malware behavioral characteristics. However, it …