A Meshtastic-based LoRa Mesh System for Smart Campus Applications: From Solar-Powered Sensing to Containerized Data Management

This batch contains multiple network- and IoT-focused research papers with actionable security implications. Key high-risk items: (1) a two-phase ML system reliably detects I2P traffic and distinguishes exfiltration from benign activity (RF + XGBoost, very high accuracy), enabling targeted defenses against covert data theft over anonymity networks; (2) an empirical study of domain registrars (.nl) shows weak adoption of advanced controls (notably two-factor auth), concluding domain takeovers remain a high-impact threat comparable to ransomware. Additional contributions with security relevance: