Edge-Computing Paradigm: Survey and Analysis on security Threads

Abstract

The commencement of extensive applications of Internet of Things devices in information technology is generating massive amounts of data. The deployment of various Internet of Things devices/sensors within the complex interconnected networks gives rise to raw data from sensors, processed and controlled data, decision-making data providing intelligent solutions, etc. Internet of Things offers a common platform (called IoT cloud) for all the networks and devices connected to those networks. The analytics can be performed on data, and valuable information can be extracted. Massive data traffic generated by Internet of Things sensors and related processing poses an overwhelming load and cost on Internet of Things cloud related to bandwidth, latency and resource scarcity. This, in turn, degrades the quality of service and network performance. To cope with such issues, Edge Computing paradigms came into existence, extending the cloud storage capacity and computational resources close to specific Internet of Things devices. However, EC assisted Internet of Things to reduce the volume of data transition over the cloud but continued with significant risks associated with security and privacy. Moreover, the expansion of service requirements triggers security and efficiency issues.