DNS Security • Machine Learning • Network Intelligence • Predictive Systems

I'm an engineer specializing in AI-driven cybersecurity, with a strong research background in DNS security, anomaly detection, and intelligent network defense systems.
My work focuses on bridging applied AI with real-world network protection, leveraging scalable architectures, automation, and data-driven intelligence.

• 🎓 Graduated from ESPRIT, Tunisia (2025)
• 🌍 Research collaboration with Landshut University (Germany) and Dräxlmaier
• 🧩 Expertise: DNS Security, AI Threat Detection, Distributed Protocols, Predictive Maintenance
• ⚙️ Passion: Converting research into deployable, high-impact cybersecurity systems

🔹 DNS Anomaly Detection System
Machine learning–based system to detect DNS tunneling, cache poisoning, and resolver abuse.

🔹 BIND9 Security Analysis
Reverse engineering, vulnerability analysis, and proposal of a custom DNS security protocol for enhanced integrity.

🔹 Predictive Maintenance Platform
Deployed ML pipelines for real-time failure prediction using streaming sensor data.

🔹 Paper2Attack Framework
Automated research-to-simulation pipeline: parses academic papers to extract DNS attack parameters and simulate them via Scapy.

📂 Explore more at github.com/Dhiaelhak-Rached

_{© 2025 Dhia el Hak Rached — Focused on AI, Security, and Scalable Intelligence Systems.}