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Erschienen in:
PESOHA: Privacy-Preserving Evaluation System for Online Healthcare Applications Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Securing Manufacturing Intelligence for the Industrial Internet of Things

verfasst von : Hussain Al-Aqrabi, Richard Hill, Phil Lane, Hamza Aagela

Erschienen in: Fourth International Congress on Information and Communication Technology

Verlag: Springer Singapore

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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.

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Vorheriges Kapitel Derivation of a Conceptual Framework to Assess and Mitigate Identified Customer Cybersecurity Risks by Utilizing the Public Cloud
Nächstes Kapitel The Private Sector’s Role in e-Government from a Legal Perspective
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Metadaten
Titel
Securing Manufacturing Intelligence for the Industrial Internet of Things
verfasst von
Hussain Al-Aqrabi
Richard Hill
Phil Lane
Hamza Aagela
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Fourth International Congress on Information and Communication Technology

Print ISBN: 978-981-329-342-7

Electronic ISBN: 978-981-329-343-4

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-32-9343-4_21

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