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
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