Hardware-Intrinsic Multi-Layer Security : A New Frontier for 5G Enabled IIoT
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 36
- Type
- D - Journal article
- DOI
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10.3390/s20071963
- Title of journal
- Sensors
- Article number
- 1963
- First page
- -
- Volume
- 20
- Issue
- 7
- ISSN
- 1424-8220
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2020
- 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
-
4
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in a top ranked journal (Scimago Q1 Instrumentation, IF=3.275), the research described is a tangible output of Lane's ERA funding https://pure.hud.ac.uk/en/projects/supporting-the-adoption-of-industry-40-and-iiot that was received to develop and promote industrial digital technology for SMEs, addressing one of the key SME concerns – security. Also, the demonstration of successful queue-based modelling of complex FPGA-based systems helped Lane to secure Technical Associate status in an ATLAS/CERN project, evidenced by his collaborative outputs such as https://attract-eu.com/wp-content/uploads/2019/05/eo_dc_bpm.pdf
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -