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Recent Experiments.
Deep-Learning
Jun 24
Real-time Network Traffic Anomaly Detection
## The Needle in the Digital Haystack In today's enterprise environments, SOC analysts face a relentless flood of network traffic—legitimate business communications intermingled with potentially malicious actors operating at unprecedented scale. Traditional signature-based IDS solutions have become glorified pattern-matchers, helpless against zero-day exploits and novel attack vectors that bypass known fingerprints. The experiment detailed below emerged from a practical need: could machine learning effectively separate signal from noise in packet captures, providing actionable intelligence without overwhelming incident response teams? ## Tech
Deep-Learning
Jun 24
Network-Level Behavioral Ad Targeting System
## Building Your Own Network-Level Behavioral Ad Targeting System: A Practical Experiment  ## Introduction Have you ever wondered how online advertisements seem to follow you across different websites and platforms? Traditional ad targeting systems are limited to specific platforms or browsers, but what if we could capture a more holistic view of online behavior? In this experimental guide, I'll walk you through building a simplified network-level behavioral ad targeting system that operates at the router level, providing insights across all connected dev
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