Evidence map›Paper›PMID 31121892›Full record

ArticleSensors (Basel, Switzerland)2019

A Design Approach to IoT Endpoint Security for Production Machinery Monitoring.

Stefano Tedeschi, Christos Emmanouilidis, Jörn Mehnen, Rajkumar Roy

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stefano TedeschiManufacturing Department, Cranfield University, Cranfield MK43 0AL, UK. s.tedeschi@cranfield.ac.uk.
Christos EmmanouilidisManufacturing Department, Cranfield University, Cranfield MK43 0AL, UK. christosem@cranfield.ac.uk.ORCID 0000-0003-4335-6915
Jörn MehnenDesign, Manufacturing & Engineering Management Department, University of Strathclyde, Glasgow G1 1XJ, UK. jorn.mehnen@strath.ac.uk.
Rajkumar RoySchool of Mathematics, Computer Science & Engineering, City, University of London, London EC1V 0HB, UK. r.roy@city.ac.uk.

Funding

Engineering and Physical Sciences Research Council EP/I033246/1Kennametal Group Direct Contract
6 · The paper itself

Abstract

The Internet of Things (IoT) has significant potential in upgrading legacy production machinery with monitoring capabilities to unlock new capabilities and bring economic benefits. However, the introduction of IoT at the shop floor layer exposes it to additional security risks with potentially significant adverse operational impact. This article addresses such fundamental new risks at their root by introducing a novel endpoint security-by-design approach. The approach is implemented on a widely applicable production-machinery-monitoring application by introducing real-time adaptation features for IoT device security through subsystem isolation and a dedicated lightweight authentication protocol. This paper establishes a novel viewpoint for the understanding of IoT endpoint security risks and relevant mitigation strategies and opens a new space of risk-averse designs that enable IoT benefits, while shielding operational integrity in industrial environments.

Indexed as

industrial IoTlegacy production machineryreal-time condition monitoringsecurity

Identifiers

PMID31121892
PMCPMC6567266

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.