Wifi Data Project: Difference between revisions
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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== | ==Communication Channels== | ||
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Sharing code and files via Github, Github Gists, and Slack | Sharing code and files via Github, Github Gists, and Slack | ||
== | ==Current Goals== | ||
Current goal: | Current goal: | ||
| Line 36: | Line 20: | ||
* 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. | |||
[[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-ngload CSV file and parse with Pythonturn 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:
Related Pages
- Wireshark
- Tcpdump
- Scapy
- Kali Raspberry Pi/Startup Services
- Statistical_Analysis_of_Networks - ideas for later.