Post 4: Training a Variational Autoencoder for Anomaly Detection Welcome to Part 4 of my series on building an intelligent log analysis system. In Part 3, I focused on parsing raw logs into a structured format for machine learning. Today, I will explore how our system uses a Variational Autoencoder Read more…
Text often needs to be encoded to safely traverse different systems and character sets. This article explores common encoding methods and presents a universal decoder script that can handle multiple encoding formats.
Introduction In the first post of this series, I looked into the idea of using machine learning to detect anomalies in server logs and the benefits it might bring.In this post, I’ll guide you through setting up a Python-based environment for building and running our anomaly detection system. This includes Read more…
Introduction Like many system administrators, I’ve relied on pflogsumm to keep tabs on my email server through daily summary reports. While these automated emails have served me well, I’ve always wondered if there was more to learn from this data. This curiosity sparked a journey into artificial intelligence, Python development, Read more…