| 摘要 |
The present invention generally relates to systems and methods for classifying executable files as likely malware or likely benign. The techniques utilize temporally-ordered network behavioral artifacts together with machine learning techniques to perform the classification. Because they rely on network behavioral artifacts, the disclosed techniques may be applied to executable files with obfuscated code. |
