NFStream: a Flexible Network Data Analysis Framework.

Deep Learning models for network traffic classification

DNXFIREWALL® and DAD'S NEXT-GEN FIREWALL™, a C/CPython hybrid next generation firewall built on top of Linux and bound to kernel/ netfilter hooks for packet control.

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper

QGIS-Plugin to parse GTFS data, to show and aggregate routes and stops.

Program for obtaining the user equilibrium solution with Frank-Wolfe Algorithm in urban traffic assignment

[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation

[IEEE Research paper + Project] Real Time Road Accidents Detection System based on crash estimation; a computer vision techniques that detects road accidents and reports them in real-time as well as allowing the monitoring of accidents using a client server architecture and an interactive GUI.

p0f v3 with impersonation spoofing, written in Python - Accurately guess the OS of a packet with passive fingerprinting.

Анализ трафика на круговом движении с использованием компьютерного зрения

A 100% personal route optimizer in a known environment based on experience

The project is to detect malware traffic in TLS flows using ML

The code and dataset for "Subverting Website Fingerprinting Defenses with Robust Traffic Representation".

A machine learning data analysis pipeline for analyzing website fingerprinting attacks and defenses.

Gets in the way of your victim's traffic and out of yours

Learn about a network from a pcap file or reading from an interface

一个流量分类的封装框架

This repository contains software for multi-agent simulation model of mixed traffic flow of connected (HVs) and automated vehicles (AVs) in Python using pygame, matplotlib, numpy, scipy and seaborn libraries. The software is capable of simulating many different cases of traffic flow and creates data files and figures for the purpose of analysis.