Wifi Data Project

This page contains notes related to an undergraduate research project, for which I served as a faculty mentor during the Winter 2016 quarter at South Seattle College.

The goal of the project was to give students the opportunity to learn about a variety of topics: wireless technology, Kali Linux, Raspberry Pis, Python, Pandas, and time series analysis.

Communication Channels

Person-to-person communication primarily via email

Group communication primarily via slack

Sharing code and files via Github, Github Gists, and Slack

Current Goals

Current goal:

• periodic CSV file dump from airomon-ng
• load CSV file and parse with Python
• turn CSV data into SQL data, populate SQL db with raw data
• post-processing with Python (pylab)
• analysis with Python (pylab)

Documentation of Steps

Pages:

• Demo - demonstration of some of the basic pieces - aircrack, monitor mode, and sql
• Experiment1 - some scripts to prep for experiment 1
• Experiment2 - setting up pi to do capture when Pi is plugged in.

Analysis:

• Pandas Wifi - analysis of wifi data using pandas

Code

Code related to this project can be found at the Github code page:

• https://github.com/charlesreid1/wifi-data

Related Pages

• Wireshark
• Tcpdump
• Scapy
• Kali Raspberry Pi/Startup Services
• Statistical_Analysis_of_Networks - ideas for later.