MULTI-LAYER MODEL AND TRAINING METHOD FOR MALWARE TRAFFIC DEETECTION BASED ON DECISION TREE ENSEMBLE
The model and training method of multilayer feature extractor and decision rules for a malware traffic detector is proposed. The feature extractor model is based on a convolutional sparse coding network whose sparse encoder is approximated by a regression random forest model according to the princip...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
National Aerospace University «Kharkiv Aviation Institute»
2020-04-01
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| Series: | Радіоелектронні і комп'ютерні системи |
| Subjects: | |
| Online Access: | http://nti.khai.edu/ojs/index.php/reks/article/view/1124 |