Back to Search Start Over

Identification of trusted IoT devices for secure delegation.

Authors :
Khalil, Ushna
Ahmad, Adnan
Abdel-Aty, Abdel-Haleem
Elhoseny, Mohamed
El-Soud, Mohamed W. Abo
Zeshan, Furkh
Source :
Computers & Electrical Engineering. Mar2021, Vol. 90, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• Model for the identification of trusted IoT devices for successful delivery of services, while protecting sensitive data. • An ontology to select appropriate IoT services according to device capabilities and data confidentiality level. • Addresses the issue of service matching while performing a task owned by a resource-constrained device within a trusted boundary. • Explores delegation in IoT with respect to authentication and secure delegation. In the era of ubiquitous computing, Internet of Things (IoT) devices have a remarkable impact on human lives. In addition to numerous services provided by IoT devices, there are some constraints and limitations in their service provision. For instance, due to their resource constraint nature, sometimes these devices have insufficient resources to perform assigned tasks. Therefore, a delegation mechanism is usually required to handle task requests assigned to devices with limited resources. However, at the same time, the data possessed by these devices can be sensitive, so a trust mechanism is needed to identify trusted devices for delegating data sensitive services. Ontologies provide a robust method to integrate models with their corresponding real-world scenarios. This paper proposes a model for the identification of trusted IoT devices for delegation, designed through ontologies to resolve the problems of incomplete task requests owned by resource-constrained IoT devices. The proposed ontology provides a unique view of domain knowledge from the operational knowledge of pervasive and ubiquitous systems, like IoT devices. The paper also proposes a semantic matching algorithm to rank highly favorable and trusted devices to handle resource and trust priorities. The proposed ontology is developed in protégé editor and evaluated through a web query language. The experimental results based on simulation and parametric evaluations reflect that the proposed system performs better than existing approaches. [Display omitted] [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00457906
Volume :
90
Database :
Academic Search Index
Journal :
Computers & Electrical Engineering
Publication Type :
Academic Journal
Accession number :
149887703
Full Text :
https://doi.org/10.1016/j.compeleceng.2021.106988