Evidence map›Paper›PMID 34073751›Full record

ArticleSensors (Basel, Switzerland)2021

PyFF: A Fog-Based Flexible Architecture for Enabling Privacy-by-Design IoT-Based Communal Smart Environments.

Fatima Zohra Benhamida, Joan Navarro, Oihane Gómez-Carmona, Diego Casado-Mansilla, Diego López-de-Ipiña, Agustín Zaballos

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. 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

6 authors.

Fatima Zohra BenhamidaLaboratoire des Méthodes de Conception des Systèmes, Ecole Nationale Supérieure D'Informatique, Algiers 16309, Algeria.ORCID 0000-0003-2116-2749
Joan NavarroGrup de Recerca en Internet Technologies & Storage (GRITS), La Salle-Universitat Ramon Llull, C/Quatre Camins, 30, 08022 Barcelona, Spain.ORCID 0000-0003-3916-9279
Oihane Gómez-CarmonaDeustoTech, University of Deusto, 48007 Bilbao, Spain.ORCID 0000-0001-7439-2551
Diego Casado-MansillaDeustoTech, University of Deusto, 48007 Bilbao, Spain.ORCID 0000-0002-1070-7494
Diego López-de-IpiñaDeustoTech, University of Deusto, 48007 Bilbao, Spain.ORCID 0000-0001-8055-6823
Agustín ZaballosGrup de Recerca en Internet Technologies & Storage (GRITS), La Salle-Universitat Ramon Llull, C/Quatre Camins, 30, 08022 Barcelona, Spain.ORCID 0000-0003-2755-4428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of the Internet of Things (IoT) and the massive growth of devices connected to the Internet are reshaping modern societies. However, human lifestyles are not evolving at the same pace as technology, which often derives into users' reluctance and aversion. Although it is essential to consider user involvement/privacy while deploying IoT devices in a human-centric environment, current IoT architecture standards tend to neglect the degree of trust that humans require to adopt these technologies on a daily basis. In this regard, this paper proposes an architecture to enable privacy-by-design with human-in-the-loop IoT environments. In this regard, it first distills two IoT use-cases with high human interaction to analyze the interactions between human beings and IoT devices in an environment which had not previously been subject to the Internet of People principles.. Leveraging the lessons learned in these use-cases, the Privacy-enabling Fog-based and Flexible (PyFF) human-centric and human-aware architecture is proposed which brings together distributed and intelligent systems are brought together. PyFF aims to maintain end-users' privacy by involving them in the whole data lifecycle, allowing them to decide which information can be monitored, where it can be computed and the appropriate feedback channels in accordance with human-in-the-loop principles.

Indexed as

PrivacyTechnologyHumansLife StyleMonitoring, Physiologicflexibilityfog computinginternet of thingsprivacysmart environmentsuser involvement

Identifiers

PMID34073751
PMCPMC8197254

What OpenQuestion holds

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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.