Isolation Forest + eBPF events to create a Linux based endpoint detection system

<!-- SC_OFF --><div class="md"><p>Hey guys, I am an undergrad based in the United States. As a part of my independent summer research, I am doing Federated Learning to detect

<!-- SC_OFF --><div class="md"><p>We added native anomaly detection in Stratum, our columnar analytics engine for the JVM. Train and score isolation forest models entirely from

<!-- SC_OFF --><div class="md"><p>Just a Student trying to build some projects and this one caught my attention.</p> <p>An automated system for detecting statistically significant

<!-- SC_OFF --><div class="md"><p>I am currently using the dataset CICIDS2017 to train an Isolation Forest model for anomaly detection, I am currently using a split that consists

<h1> Three Detection Paradigms. One Dataset. One Result. </h1> <p>For the last 147 days I’ve been building <a href="https://github.com/alonsoir/argus?utm_source=chatgpt.com"

<!-- SC_OFF --><div class="md"><p>Disclosure: I built LabelSets (labelsets.ai). Sharing the technical approach behind how we score dataset quality.</p> <p>THE PROBLEM</p> <p>Most

<!-- SC_OFF --><div class="md"><p><a href="https://github.com/SomeoneAlt-86/open-mythos">https://github.com/SomeoneAlt-86/open-mythos</a><br /> Claude just previewed their Mythos

<!-- SC_OFF --><div class="md"><p>I’ve been thinking about an alternative way of doing low-level AI perception, and I’m curious whether anyone here is already working on something