Day 88 of #100daysofnetworks
Anomaly Detection and Spike Insights, USA Edition
Hello everyone! As I mentioned previously, OSINT is often a continuation of previous work. Here are some articles if you would like to catch up on your reading:
On day 85, I explain that I have pivoted to writing paid articles. I need to pay mortgage and be able to feed my family. If you enjoy my articles and learning from me, you should upgrade to a paid subscription so you can continue to follow along.
On day 86, we began looking into spikes of chatter related to ICE activity. If you want to understand what is happening in the USA, day 86 and today’s article will be helpful. We investigated spikes in activity. You have to see and notice before you can detect.
And in today’s article, I am going to explain how to detect anomalies using Isolation Forest, a Machine Learning technique related to Random Forest. If you work in AI and don’t know about anomaly detection, Random Forest, or Isolation Forest, you are missing important fundamentals and need to catch up and should follow along.
But in today’s article, I am also going to show that KISS and YAGNI save the day and that Machine Learning was a distraction from reaching the actual goal. Here we go.
