IMSC-EIoTD: Identity Management and Secure Communication for Edge IoT Devices.

IoT IoT security authentication authorization context-aware computing decentralized edge computing fog computing identity management trust trusted computing platform

Journal

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

Informations de publication

Date de publication:
16 Nov 2020
Historique:
received: 12 10 2020
revised: 12 11 2020
accepted: 14 11 2020
entrez: 19 11 2020
pubmed: 20 11 2020
medline: 20 11 2020
Statut: epublish

Résumé

The Internet of things (IoT) will accommodate several billions of devices to the Internet to enhance human society as well as to improve the quality of living. A huge number of sensors, actuators, gateways, servers, and related end-user applications will be connected to the Internet. All these entities require identities to communicate with each other. The communicating devices may have mobility and currently, the only main identity solution is IP based identity management which is not suitable for the authentication and authorization of the heterogeneous IoT devices. Sometimes devices and applications need to communicate in real-time to make decisions within very short times. Most of the recently proposed solutions for identity management are cloud-based. Those cloud-based identity management solutions are not feasible for heterogeneous IoT devices. In this paper, we have proposed an edge-fog based decentralized identity management and authentication solution for IoT devices (IoTD) and edge IoT gateways (EIoTG). We have also presented a secure communication protocol for communication between edge IoT devices and edge IoT gateways. The proposed security protocols are verified using Scyther formal verification tool, which is a popular tool for automated verification of security protocols. The proposed model is specified using the PROMELA language. SPIN model checker is used to confirm the specification of the proposed model. The results show different message flows without any error.

Identifiants

pubmed: 33207820
pii: s20226546
doi: 10.3390/s20226546
pmc: PMC7696764
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2018 Aug 24;18(9):
pubmed: 30149582
Sensors (Basel). 2019 Mar 06;19(5):
pubmed: 30845760

Auteurs

Kazi Masum Sadique (KM)

Department of Computer and Systems Sciences, Stockholm University, 16407 Stockholm, Sweden.

Rahim Rahmani (R)

Department of Computer and Systems Sciences, Stockholm University, 16407 Stockholm, Sweden.

Paul Johannesson (P)

Department of Computer and Systems Sciences, Stockholm University, 16407 Stockholm, Sweden.

Classifications MeSH