Multi-Layer IoT Security Framework for Ambient Intelligence Environments.

IoT packet filtering remote attestation security framework trust management

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
19 Sep 2019
Historique:
received: 05 08 2019
revised: 13 09 2019
accepted: 17 09 2019
entrez: 25 9 2019
pubmed: 25 9 2019
medline: 25 9 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31546782
pii: s19184038
doi: 10.3390/s19184038
pmc: PMC6767328
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministerul Educației și Cercetării Științifice
ID : PN-III-P1-1.2-PCCDI-2017-0272

Références

Sensors (Basel). 2011;11(2):1383-95
pubmed: 22319358
Sensors (Basel). 2013 Jan 18;13(1):1210-30
pubmed: 23334610
Sensors (Basel). 2015 Apr 15;15(4):8764-86
pubmed: 25884786

Auteurs

Ion Bica (I)

Faculty of Information Systems and Cyber Security, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania. ion.bica@mta.ro.

Bogdan-Cosmin Chifor (BC)

Faculty of Information Systems and Cyber Security, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania. bogdan.chifor@mta.ro.

Ștefan-Ciprian Arseni (ȘC)

Faculty of Information Systems and Cyber Security, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania.

Ioana Matei (I)

Faculty of Information Systems and Cyber Security, "Ferdinand I" Military Technical Academy, 050141 Bucharest, Romania. ioana.matei@mta.ro.

Classifications MeSH