Secure Fog Computing Architecture for IoT Devices
Kalicharan Das, Priyabrata Nayak · INTERNATIONAL JOURNAL OF NOVEL TRENDS AND INNOVATION · 2026
The proliferation of Internet of Things (IoT) devices has posed challenges in data security, latency and resource management. Conventional cloud-based approaches may not be suitable for real-time processing and data privacy because of centralised processing and increased latency. This paper presents a secure fog computing framework for Internet of Things (IoT) devices that extends computing, storage and security services to the edge of the network. The approach incorporates lightweight encryption, distributed authentication and anomaly detection mechanisms at fog nodes to improve data security without compromising system performance. Furthermore, a multi-layered security framework is adopted to secure data transmission among IoT devices, fog nodes and the cloud. Through simulations, the proposed framework is shown to improve latency, security and scalability compared to traditional cloud-based systems. It offers quicker responsiveness and enhanced threat detection capability with low computational costs. Finally, the secure fog computing approach offers a scalable, efficient, and effective way to secure IoT systems, which is applicable to critical and time-sensitive systems like healthcare, smart cities, and automation.