A Competent Model for Security and Privacy in IoT using Fog Computing

Abstract

The Internet of things (IoT) characterizes the goal of everyday physical devices that are associated with the internet and having the option to recognize themselves to different devices. Today, Internet of Things is a place where changes occur as devices become more sophisticated, computation becomes smarter, and interaction becomes insightful. The standard integrated cloud computing model faces a number of challenges due to high demand for IoT applications, such as network instability, limited means, high delay and deprived security. Fog computing brings the cloud closer to IoT devices to address these challenges. Fog computing is a prototype that allows cloud computing to reach the edge of networks. Instead of sending them to the cloud, fog provides local data processing and storage on IoT devices. Unlike the cloud, the fog provides faster response and improved security services. This paper represents the fog computing technique and its compatibility with IoT by illustrating the advantages and challenges of implementation. We also concentrate on the fog and architecture and new IoT technologies that will be improved through the use of the fog template.