An AHP-Based Risk Assessment for an Industrial IoT Cloud

Yu-Lun Huang, Wen Lin Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

An Industrial Internet-of-Things (IIoT) Cloud builds up a platform to accelerate the realization of factories running Industry 4.0 services. The IIoT cloud interconnects machines, robotic arms, controllers and drivers to form a collaborative platform [1], which brings the convenience of developing new features, for example, remote controlling, automatic producing, etc. However, the interconnected network may suffer from new security issues and risks. Hence, a method for assessing risks of the IIoT network is required, especially for the core running cloud services for the IoT devices. In this research, a novel AHP (Analytic Hierarchy Process) [2]-based risk assessment model is presented for an IIoT cloud to self-check its own health.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages637-638
Number of pages2
ISBN (Print)9781538678398
DOIs
StatePublished - 9 Aug 2018
Event18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018 - Lisbon, Portugal
Duration: 16 Jul 201820 Jul 2018

Publication series

NameProceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018

Conference

Conference18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
CountryPortugal
CityLisbon
Period16/07/1820/07/18

Keywords

  • Analytic hierarchy process
  • Cloud risk assessment
  • Industrial internet-of-things

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  • Cite this

    Huang, Y-L., & Sun, W. L. (2018). An AHP-Based Risk Assessment for an Industrial IoT Cloud. In Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018 (pp. 637-638). [8432040] (Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QRS-C.2018.00112