2019/05/04 by Nour Moustafa, Moustafa, Nour
Computer Science · #Context-Aware Activity Recognition Systems #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet of Things and AI #IoT and Edge/Fog Computing
paper · pdf · doi:10.48550/arxiv.1906.01055
openalex publication_date 2019/05/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 virtualisation, network monitoring, data protection and attack detection. This paper 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.