NagabhushanS/Machine-Learning-Based-Botnet-Detection
Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffic flows. It involves various classifiers including Neural Networks, Decision Tree, SVM, Naive Bayes, Logistic Regression, k-Nearest Neighbours.
Python
Stargazers
- 5up3rcXiamen,China
- BM27
- caliskanfurkanLondon
- ceylanb
- charleshuangruo
- duanyun6
- enningxie
- eroniko
- glitzflitz
- huangliuyang
- hy000jinCTI Lab
- ic0dews
- JingyiWang92
- JinSagi
- joojanoBBCE
- jxjessieliSUTD
- LeoYenArgentina
- liuzc188
- lorraine010
- MageeLowWH
- MasterzXD
- matveevasKazan, Russia
- mojokco
- nandesh553@vmartretail
- okadahiro0621japan
- ourren
- ph47s74xMercurai Technologies LLC
- pranshuprakashpandeyDehradun, India
- Raul1718Web Security Engineer
- Ritinder-kaur
- Scarecrow928China
- thinszxUniversity of Science and Technology of China
- Toesgirl
- tricycle88
- xiaoyuge16
- zhengjingweiPeking University