The rapid growth of IoT devices has pushed computation closer to the network edge through Fog computing, enabling low latency, real-time analytics, and smarter services. However, this distributed architecture also introduces complex challenges in managing security threats, protecting user privacy, and efficiently utilizing limited resources. 🧠📡🔄
This comprehensive survey brings together an integrated view of security, privacy, and resource efficiency in IoT-Fog networks. It discusses authentication mechanisms, encryption techniques, trust management, and privacy-preserving models while highlighting energy-aware scheduling, load balancing, and resource optimization strategies. 🔐🛡️⚡
By analyzing existing architectures, threat models, and open research challenges, the survey provides valuable insights for researchers and practitioners. It emphasizes the need for holistic solutions that balance protection and performance, paving the way for scalable, resilient, and sustainable IoT-Fog ecosystems. 🚀🌍📊
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