A Systemic IoT–Fog–Cloud Architecture for Big-Data Analytics and Cyber Security Systems
Nour Moustafa
Abstract
With the rapid growth of the Internet of Things (IoT), current Cloud systems face various drawbacks such as lack of mobility support, location-awareness, geo-distribution, high latency, as well as cyber threats. Fog/Edge computing has been proposed for addressing some of the drawbacks, as it enables computing resources at the network’s edges and it locally offers big-data analytics rather than transmitting them to the Cloud. The Fog is defined as a Cloud-like system having similar functions, including software-, platform- and infrastructure as services. The deployment of Fog applications faces various security issues related to virtualization, network monitoring, data protection and attack detection. This chapter proposes a systemic IoT–Fog–Cloud architecture that clarifies the interactions between the three layers of IoT, Fog and Cloud for effectively implementing big-data analytics and cyber security applications. It also reviews security challenges, solutions and future research directions in the architecture.