~/talk

Spying on my Network for a Day: Data Analysis for Networks

Talkat PyData Berlin 2017 · 2017-06-23..06-25· [security, observability]
linkedin:aishaobello
slides:none on file

Collected one day of home packet captures (about 354 total) producing over 450,000 packets and processed with Wireshark then exported to CSV for visualization in Bokeh inside Jupyter. Analysis pinpoints major bandwidth consumers (YouTube session ~437 MB), shows DHCP broadcasts that reveal a roommate arriving, surfaces background services chewing bandwidth, and suggests automating capture with a Raspberry Pi or using Moloch for large-scale packet indexing and anomaly detection.

AI-written summary · about

  1. 0:00Network data analysis intro
  2. 3:39Network experiment setup
  3. 4:51IP packets 101
  4. 9:11Daily data usage
  5. 12:27Packet spikes visualization
  6. 16:02Protocol usage patterns
  7. 18:50Analyze home router traffic
  8. 21:41Automate traffic analysis
  9. 24:49Personal insights from monitoring
  10. 25:56Q&A on home arrivals
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