Securing Manufacturing Intelligence for the Industrial Internet of Things

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

1 Citation (Scopus)

Abstract

Widespread interest in the emerging area of predictive analytics is driving the manufacturing industry to explore new approaches to the collection and management of data through Industrial Internet of Things (IIoT) devices. Analytics processing for Business Intelligence (BI) is an intensive task, presenting both a competitive advantage as well as a security vulnerability in terms of the potential for losing Intellectual property (IP). This article explores two approaches to securing BI in the manufacturing domain. Simulation results indicate that a Unified Threat Management (UTM) model is simpler to maintain and has less potential vulnerabilities than a distributed security model. Conversely, a distributed model of security out-performs the UTM model and offers more scope for the use of existing hardware resources. In conclusion, a hybrid security model is proposed where security controls are segregated into a multi-cloud architecture.

Original languageEnglish
Title of host publicationFourth International Congress on Information and Communication Technology
Subtitle of host publicationICICT 2019, London, Volume 2
EditorsXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Singapore
Pages267-282
Number of pages16
Volume2
Edition1
ISBN (Electronic)9789813293434
ISBN (Print)9789813293427, 981329342X
DOIs
Publication statusPublished - 3 Jan 2020
Event4th International Congress on Information and Communication Technology - London, United Kingdom
Duration: 27 Feb 201928 Feb 2019
Conference number: 4
http://www.icict.co.uk/

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer Singapore
Volume1027
ISSN (Print)2194-5357
ISSN (Electronic)2194-5357

Conference

Conference4th International Congress on Information and Communication Technology
Abbreviated titleICICT 2019
CountryUnited Kingdom
CityLondon
Period27/02/1928/02/19
Internet address

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    Cite this

    Hill, G., Al-Aqrabi, H., Lane, P., & Aagela, H. (2020). Securing Manufacturing Intelligence for the Industrial Internet of Things. In X-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 2 (1 ed., Vol. 2, pp. 267-282). (Advances in Intelligent Systems and Computing; Vol. 1027). Springer Singapore. https://doi.org/10.1007/978-981-32-9343-4_21