| Abstract |
The Internet of Things is a novel and promising paradigm already being part of some of our daily activities. At the end of this year, the Internet will connect about 7 billion smart things. They are part of solutions ranging from Smart Cities to telemetry collection for Industrial applications generating a colossal amount of real-time streaming data. Cloud-based services have also being evolved from pure IaaS providing Virtual Machines to sophisticated PaaS, SaaS, and FaaS designed explicitly for Big Data, Analytics and IoT, they all exhibiting serverless architectures. Moreover, Information Retrieval (IR) is becoming a crucial application layer on top of IoT application for searching and retrieving relevant data on the real-time streaming collections, on sensors, or things. In the last years, a significant set of approaches have been explored IoT, Big Data, and IoT Search Engines. However, the cybersecurity has not been meticulously researched. Neither for IoT nor IR, as a critical component at searching on the IoT. In this paper, we present an approach to consider cybersecurity as an IR dimension for cloud-based edge-powered searching over IoT from a theoretical perspective, we compare through a compact survey the related works and finalise with a multi-perspective discussion to embrace cybersecurity in the IoT/IoTSE architectures. © 2020 IEEE. |
