Displaying 1 to 9 from 9 results

skydive - An open source real-time network topology and protocols analyzer

  •    Go

Skydive is an open source real-time network topology and protocols analyzer. It aims to provide a comprehensive way of understanding what is happening in the network infrastructure. Skydive agents collect topology informations and flows and forward them to a central agent for further analysis. All the informations are stored in an Elasticsearch database.

nDPI - Open Source Deep Packet Inspection Software Toolkit

  •    C

You can use nDPI to selectively block selected Internet traffic by embedding it onto an application (remember that nDPI is just a library). Both ntopng and nProbe cento can do this. While we do our best to detect network protocols, we cannot guarantee that our software is error free and 100% accurate in protocol detection. Please make sure that you respect the privacy of users and you have proper authorization to listen, capture and inspect network traffic.

nfstream - NFStream: a Flexible Network Data Analysis Framework.

  •    Python

NFStream is a Python framework providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data analytics framework for researchers providing data reproducibility across experiments. Binary installers for the latest released version are available on Pypi.

NFStream - A Flexible Network Data Analysis Framework

  •    Python

NFStream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments. NFStream extracts +90 flow features and can convert it directly to a pandas Dataframe or a CSV file.




traffic - A quick and dirty vehicle speed detector using video + anomaly detection

  •    Clojure

A quick and dirty system for tracking vehicle speeds using video + anomaly detection. This project isn't built with generality in mind, but it's open-sourced for the curious. See all the details in the blog post.

fingerprint-securedrop - A machine learning data analysis pipeline for analyzing website fingerprinting attacks and defenses

  •    Python

This repository is a work-in-progress to implement an end-to-end data collection and analysis pipeline to help tackle the problem of website fingerprinting attacks in the context of Tor Hidden Services [1]. It is designed as a single system that carries out everything from data collection, to feature generation, to model training and analysis, with the intention of helping us evaluate and develop defenses to be implement in the SecureDrop whistleblower submission system. If you are a researcher interested in this problem we encourage you to collaborate with us in our Gitter chatroom and via our mailing list. Feel free to get in touch personally as well.

mitmweb-docker - Docker image for the mitmproxy web interface mitmweb

  •    

Alpine based docker image for the mitmproxy web interface mitmweb. Get started quickly with defaults allowing docker to map the proxy and web interface ports.


message-simulator - An open source tool for testing and hardening clusters for high availability

  •    Python

This project is a lightweight testing automation tool for helping validate a cluster's High Availability, performance, and resilience. This project supports creating normal messaging operational traffic load with the ability to subject the cluster to external events in real time. If you know what type of traffic your cluster will handle, then this repository can help you predict and identify where bottlenecks will happen ahead of a production outage (at midnight). The focus for this initial version is for RabbitMQ clusters with the ability to support Redis and ZeroMQ in the future.






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