Lightweight models achieve competitive botnet detection on CTU-13 with Random Forest at ROC-AUC 0.97 and PR-AUC 0.54 while training 90% faster than CNN baselines.
AI powered correlation technique to detect virtual machine attacks in private cloud environment
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Botnet Detection on CTU-13 Using Lightweight Machine Learning Models
Lightweight models achieve competitive botnet detection on CTU-13 with Random Forest at ROC-AUC 0.97 and PR-AUC 0.54 while training 90% faster than CNN baselines.