An Orchestrated Security Platform for Internet of Robots

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • Xidian University
  • Nokia Bell Labs

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.

Details

Original languageEnglish
Title of host publicationGreen, Pervasive, and Cloud Computing - 12th International Conference, GPC 2017, Proceedings
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Green, Pervasive and Cloud Computing - Cetara, Italy
Duration: 11 May 201714 May 2017
Conference number: 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10232 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Green, Pervasive and Cloud Computing
Abbreviated titleGPC
CountryItaly
CityCetara
Period11/05/201714/05/2017

    Research areas

  • Cloud computing, Drone, Internet of things, Mobile cloud robot, Mobile virtual network operator, Robot, Security, Software defined networking

ID: 13339680