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. | ||
==Communication Channels== | ==Communication Channels== | ||
Revision as of 12:01, 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.
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.