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This page contains notes related to an undergraduate research project during the Winter 2016 quarter at South Seattle College.
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==


Github code page:
Person-to-person communication primarily via email
* https://github.com/charlesreid1/wifi-data


Pages:
Group communication primarily via slack
* [[Demo]] - demonstration of some of the basic pieces - aircrack, monitor mode, and sql
* [[Experiment1]] - some scripts to prep for experiment 1
* [[Demo/Capture]] - setting up pi to do a capture.


Other useful pages:
Sharing code and files via Github, Github Gists, and Slack
* [[Wireshark]]
* [[Tcpdump]]
* [[Scapy]]
* [[Kali Raspberry Pi/Startup Services]]
* [[Statistical_Analysis_of_Networks]] - ideas for later.


==Current Goals==


Current goal:
Current goal:
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* analysis 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.
 
http://www.linuxjournal.com/content/wi-fi-command-line
 
<br />


[[Category:Wifi Data Project]]
[[Category:Wifi Data Project]]

Latest revision as of 12:02, 22 August 2023

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:

Code

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

Related Pages