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Work in progress:  
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.
* [[Wireshark]]
 
* [[Tcpdump]]
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.
* [[Scapy]]
 
==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:
Current goal:
* Tcpdump to capture pcap files at periodic intervals
* <s>periodic CSV file dump from airomon-ng</s>
* Stunnel and reverse ssh to phone home to command-and-control server and offload pcap files
* <s>load CSV file and parse with Python</s>
* Scapy-SQL-pylab to analyze data offline
* <s>turn CSV data into SQL data, populate SQL db with raw data</s>
* Scapy-pylab to directly analyze pcap files
* 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==


http://www.linuxjournal.com/content/wi-fi-command-line
Code related to this project can be found at the Github code page:
* https://github.com/charlesreid1/wifi-data


<br />
==Related Pages==


{{WiresharkFlag}}
* [[Wireshark]]
* [[Tcpdump]]
* [[Scapy]]
* [[Kali Raspberry Pi/Startup Services]]
* [[Statistical_Analysis_of_Networks]] - ideas for later.


{{ScapyFlag}}
[[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