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.
Alternatives To Machine Learning Based Botnet Detection
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Dorothy2190
9 years ago9October 26, 2014gpl-3.0Ruby
A malware/botnet analysis framework written in Ruby.
Sec Pentesting Toolkit130
14 days agoC
👾 𝘁𝗼𝗼𝗹𝘀 𝗳𝗼𝗿 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀: 𝗽𝗲𝗻𝘁𝗲𝘀𝘁𝗶𝗻𝗴, 𝗖𝗧𝗙𝘀 & 𝘄𝗮𝗿𝗴𝗮𝗺𝗲𝘀
Botnet Detection122
a year ago10mitPython
Topological botnet detection datasets and graph neural network applications
Cosmic Mirai95
9 months ago14C
Cosmic Mirai Botnet Make for education!
Zer0bot45
9 months ago3mitJavaScript
DISCORD BOT FOR DDOS,...
Condi Boatnet35
9 months ago4C
Condi Boatnet Ver 1 (old killer)
Machine Learning Based Botnet Detection32
7 years agoPython
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.
Homo Network16
a year agoGo
Homo Network - The best ddos botnet in 2023
Aptdetector14
15 years ago3February 14, 20161otherHTML
Advanced Persistent Threat Detection Using Network Analysis
Black Witch Botnet9
5 years ago3mitGo
The TCP BotNet 僵尸网络
Alternatives To Machine Learning Based Botnet Detection
Select To Compare


Alternative Project Comparisons
Popular Network Projects
Popular Botnet Projects
Popular Networking Categories

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Python
Network
Botnet