Evidence map›Paper›PMID 34502789›Full record

ArticleSensors (Basel, Switzerland)2021

Provisioning, Authentication and Secure Communications for IoT Devices on FIWARE.

Patrícia R Sousa, Luís Magalhães, João S Resende, Rolando Martins, Luís Antunes

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Patrícia R SousaDepartment of Computer Science, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal.ORCID 0000-0002-0268-9134
Luís MagalhãesDepartment of Computer Science, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal.ORCID 0000-0001-9794-227X
João S ResendeDepartment of Computer Science, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal.ORCID 0000-0003-0125-4240
Rolando MartinsDepartment of Computer Science, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal.ORCID 0000-0002-1838-1417
Luís AntunesDepartment of Computer Science, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal.

Funding

Compete 2020 POCI-01-0247-FEDER-046119
6 · The paper itself

Abstract

The increasing pervasiveness of the Internet of Things is resulting in a steady increase of cyberattacks in all of its facets. One of the most predominant attack vectors is related to its identity management, as it grants the ability to impersonate and circumvent current trust mechanisms. Given that identity is paramount to every security mechanism, such as authentication and access control, any vulnerable identity management mechanism undermines any attempt to build secure systems. While digital certificates are one of the most prevalent ways to establish identity and perform authentication, their provision at scale remains open. This provisioning process is usually an arduous task that encompasses device configuration, including identity and key provisioning. Human configuration errors are often the source of many security and privacy issues, so this task should be semi-autonomous to minimize erroneous configurations during this process. In this paper, we propose an identity management (IdM) and authentication method called YubiAuthIoT. The overall provisioning has an average runtime of 1137.8 ms ±65.11+δ. We integrate this method with the FIWARE platform, as a way to provision and authenticate IoT devices.

Indexed as

Computer SecurityPrivacyCommunicationHumansInternetauthenticationFIWAREInternet of Thingssecure communicationssmart cities

Identifiers

PMID34502789
PMCPMC8433780

What OpenQuestion holds

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LicenceCC BY
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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.