Popular GitHub Repositories for Packet Sniffer

? ? Use ML to classify flows and packets as benign or malicious. ? ?

Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning

MeshTNC is a tool for piping LoRa data to and from consumer grade radios.

Lorapipe is a tool for piping LoRa data to and from consumer grade radios.

Real-time eBPF-powered network security monitor with AI-driven threat detection. Surfaces port scans, DDoS attacks, botnet activity, and anomalies at 100Gbps+ speeds with sub-microsecond latency (~150 million packets/sec).

Evil-BW16-WebUI is a dual-band (2.4GHz/5GHz) WiFi deauthentication tool for BW16 and ESP32 boards, featuring real-time monitoring, a web-based interface, channel hopping, and advanced packet injection—intended solely for ethical security testing.

实时网络流量监控工具，基于滑动窗口分析，支持异常检测与 Web 可视化

AI-assisted packet analysis in your terminal

bin2bin, a Time-Frequency Generative Adversarial based method for Audio Packet Loss Concealment

PacketGame: Multi-Stream Packet Gating for Concurrent Video Inference at Scale

Wiredigg is a comprehensive network analysis tool with advanced security features designed for network administrators, security professionals, and IT enthusiasts. It provides real-time packet capture, protocol analysis, anomaly detection, and threat identification capabilities in a modern, user-friendly interface.

ESP32 based LoRa Packet Manager to analyze the received bytes of the payload

Liang, E., Zhu, H., Jin, X., & Stoica, I. (2019). Neural packet classification. https://doi.org/10.1145/3341302.3342221

Fake mirrors entire the Web!

An Efficient Packet Classification Framework Using Model-Based Selection Scheme and Reinforcement Learning 基於模型導向選擇機制與強化學習的高效封包分類框架

Allows for a network analyst to query raw packet data with an LLM.

This project implements a reinforcement learning-based packet scheduler for a simulated router handling multiple traffic classes (video, voice, and best-effort). The goal is to meet delay-based QoS constraints while minimizing latency, using model-free RL techniques such as Q-Learning.

A real-time network packet capture and sonification tool that transforms your network traffic into both visual and auditory experiences.

Tarefas com o uso de inteligência artificial para detecção de anomalias e ataques adversariais, fazer testes de modelos, hiperparâmetros e produzir relatórios. Tarefas da cadeira de Detecção de Intrusão do curso de Engenharia da Computação (EC) do CIn da UFPE, cadeira cursada por mim de 2023 a 2024.

A real-time network packet capture and sonification tool that transforms your network traffic into both visual and auditory experiences.