Submitted outputs' details

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"A design approach to IoT endpoint security for production machinery monitoring"

Submitting institution: Cranfield University
Unit of assessment: 12 - Engineering
Output identifier: 23494039
Type: D - Journal article
DOI: 10.3390/s19102355
Title of journal: Sensors
Article number: 2355
First page: -
Volume: ="19"
Issue: ="10"
ISSN: 1424-8220
Open access status: Compliant
Month of publication: May
Year of publication: 2019
URL: -
Supplementary information: -
Request cross-referral to: -
Output has been delayed by COVID-19: No
COVID-19 affected output statement: -
Forensic science: No
Criminology: No
Interdisciplinary: No
Number of additional authors: 3
Research group(s): -
Proposed double-weighted: No
Reserve for an output with double weighting: No
Additional information: This research focussing on how Internet of Things (IoT) benefits integrity risk-averse designs influenced the EU H2020 grant on safe and trusted human centric artificial intelligence in manufacturing lines involving THALES, Philips, Siemens, IBER-OLEFF (€6.00M, https://cordis.europa.eu/project/id/956573)
Author contribution statement: -
Non-English: No
English abstract: -