This directory contains the following files.

A directory containing scripts designed to generate traffic on a virtual network. The scripts are documented in more detail within the code itself.

A directory containing the necessary files and instructions to build a virtual network on gns3. More information in the README within the directory.

This file tells git to ignore some files.

A python module containing functions that allow other scripts to run executable scripts in docker containers. More details in the documentation within the script itself.

A script that will periodically use the runall.py script to run a random script from agents on all the docker images named traffic_gen_box to generate traffic.

This is a mono repo containing everything needed to operate and develop on the virtualized network within brass.

The UD College of Engineering provides a number of different softwares through UDeploy. Our development VM runs on VMware Workstation which can be downloaded from UDeploy here

In order to connect to brass, you need to be connected to the UD network. The UD AnyConnect VPN can be found here. If you haven't already, the UD VPN also requires a second password, which is generated through google authenticator. You can set that up by following the instructions layed out on this webpage

Our VM image is hosted on google drive which can be downloaded here. #TODO insert vm image link

• GNS3
• UserAgent
• ML

To run the scheduler, simply type the command

python3 scheduler.py

If it prints "Call random duckduckgo query", it will tell all the boxes to query a random website. The number of these queries made will be stored on each box under "/trafficGen/agents/.queries". If the scheduler prints "Call send Email", each box will send an email to the address [email protected]. These emails will be stored in "/var/mail/vhosts/example.com/info". Finally, if the scheduler prints "Print a dummy file", each box will send a print request to the print server, named cups_pdf in the example_net.py network, and successful "prints" on the virtual printer will be stored in "/home/reciever/PDF". NOTE: this scheduler will currently only work if the example-net.py script is run while a project named "testtest" exists.