📊 Extend TrafficMonitor with NezhaMonitor API to display real-time server data, enhancing your network monitoring experience with seamless setup and persistent configurations.

🌐 Generate continuous internet traffic using ESP32 by downloading website content in chunks for effective network utilization.

This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.

SaaS Zero - Network Traffic Monitor Professional network traffic monitoring and security analysis platform

Defund the Police. With repository stars⭐ and forks🍴

Network Traffic Analysing Toolkit for Cyber Security

🚀 A lightweight, fast, and comprehensive solution for traffic analysis and intrusion detection.

Awesome Malware Traffic Analysis

Preprocessing and analysis of network data through unsupervised and supervised learning, with exploration of adversarial attacks on trained classifiers.

Testbed for testing NetFlow/IPFIX network monitoring probes. Includes tools for PCAP generation and replay of 1/10/100G network traffic.

A model trained for network traffic prediction. problem and data provided by ETRI(Electronics and Telecommunications Research Institute), Korea, Republic of.

An advanced, security-focused network traffic analysis tool designed for system administrators, cybersecurity professionals, and network engineers. The xsukax PCAP Analyzer provides comprehensive insights into network behavior while maintaining strong privacy protections and offering advanced threat detection capabilities.

Version-0 >> A Python-based network monitoring tool that logs traffic, detects spikes or high usage, stores data in MySQL, and sends email alerts when thresholds are exceeded.

ESP32 Network Eater is an ESP32 prototype that continuously generates internet traffic. Users can select a Wi-Fi network and a target website, which the ESP32 downloads in small chunks to maximize network usage.

Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.

أداة عربية لمراقبة وتحليل حركة الشبكة في الوقت الفعلي تقدم عرضاً ثلاثي الأبعاد للاتصالات الشبكية مع واجهة مستخدم سهلة الاستخدام - A visual Arabic tool for monitoring and analyzing network traffic in real-time. Provides a 3D visualization of network connections with an easy-to-use interface.

Analyzing and comparing encrypted network traffic from popular applications to identify patterns and application fingerprints.

Awesome Malware Traffic Analysis Scientific Research

Awesome Time Series Anomaly Detection Scientific Research