Evidence map›Paper›PMID 31546782›Full record

ArticleSensors (Basel, Switzerland)2019

Multi-Layer IoT Security Framework for Ambient Intelligence Environments.

Ion Bica, Bogdan-Cosmin Chifor, Ștefan-Ciprian Arseni, Ioana Matei

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. Review
  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.

Ion BicaFaculty of Information Systems and Cyber Security, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania. ion.bica@mta.ro.
Bogdan-Cosmin ChiforFaculty of Information Systems and Cyber Security, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania. bogdan.chifor@mta.ro.
Ștefan-Ciprian ArseniFaculty of Information Systems and Cyber Security, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania.ORCID 0000-0002-9986-3564
Ioana MateiFaculty of Information Systems and Cyber Security, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania. ioana.matei@mta.ro.

Funding

Ministerul Educației și Cercetării Științifice PN-III-P1-1.2-PCCDI-2017-0272
6 · The paper itself

Abstract

Ambient intelligence is a new paradigm in the Internet of Things (IoT) world that brings smartness to living environments to make them more sensitive; adaptive; and personalized to human needs. A critical area where ambient intelligence can be used is health and social care; where it can improve and sustain the quality of life without increasing financial costs. The adoption of this new paradigm for health and social care largely depends on the technology deployed (sensors and wireless networks), the software used for decision-making and the security, privacy and reliability of the information. IoT sensors and wearables collect sensitive data and must respond in a near real-time manner to input changes. An IoT security framework is meant to offer the versatility and modularization needed to sustain such applications. Our framework was designed to easily integrate with different health and social care applications, separating security tasks from functional ones and being designed with independent modules for each layer (Cloud, gateway and IoT device), that offer functionalities relative to that layer.

Indexed as

IoTpacket filteringremote attestationsecurity frameworktrust management

Identifiers

PMID31546782
PMCPMC6767328

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.