An Orchestrated Security Platform for Internet of Robots

Abstract

Although the research on Internet of Things (IoT) is emerging and getting popular, there are few mobile operators that offer connectivity services for IoT devices such as robots in their networks. One of the reasons is security. Mobile operators who offer connectivity to IoT devices could benefit from an orchestrated security platform by applying data mining and classification based on the data collected to offer more reactive security notifications to owners of robots. For this purpose, we propose a distributed security platform for Mobile Cloud Robot (MCR) to detect and prevent an attack on the mobile network and robots based on the collected information from robots. The proposed platform includes robots, Local Robot Controller (LRC), Mobile Cloud, an IoT anomaly detection module and IoT orchestrator. This platform applies an orchestrated data analysis not only to achieve an accurate anomaly detection for robot security but also improves different aspects such as energy saving, processing time, fault detection etc.

The original version of this chapter was revised: For the second author’s name, Vikramajeet Khatri, an ORCID was added. The erratum to this chapter can be found at https://doi.org/10.1007/978-3-319-57186-7_59