Learn to track and visualize Wi-Fi networks from aerial data using Google Colab and Jupyter notebooks. Explore Python techniques for identifying target devices during drone flights, analyze warflying data, and create various map visualizations including intel maps, cluster maps, and heatmaps. Gain hands-on experience with provided sample data and code, covering topics such as hardware setup, wardriving basics, Arduino IDE usage, flight recording, and advanced data analysis methods for Wi-Fi network detection and mapping.
Tracking and Mapping Wi-Fi Networks from Aerial Drones - Data Visualization Tutorial
SecurityFWD via YouTube
Overview
Syllabus
Intro
Hardware Overview
Wardriving
Arduino IDE
SD Card Data
Drone Data
Flight Recording
Flight Data Analysis
Data Visualization
Sample Data
Map Data
Intel Map
Clustered Data
Detection
Results
Time Filters
Cluster Map
Running the Code
Map
Marker Cluster
Max Cluster
Heat Map
Heatmap
Conclusion
Taught by
SecurityFWD
