An Efficient Internet of Things Interoperability Model Using Secure Access Control Mechanism

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Abstract

Internet of Things (IoT) is a revolutionary innovation in many aspects of our society like financial activities, communication activities, and global security such as the military and battlefields’ internet. Security and energy play a crucial role in data transmission across IoT and edge networks. In this research, a trust mechanism based on privacy access control is proposed for IoT devices’ interoperability. Most of the existing researches on achieving interoperability for IoT devices has drawbacks such as overlapping of systems, uneven distribution of data, lack of data security, high power consumption, and low optimization of resources. The main objective of this research is to focus and overcome these challenges by introducing a privacy access control mechanism that includes trust parameters of IoT device interoperability. A routing protocol for low-power and lossy networks (RPL) mode of operation is set in the direction of multipoint-to-point traffic flow, except in the downward flow direction. Sensor nodes send data packets to the sink node, which transmits the information to the server to determine the trust values in this mode. To validate the performance, a widely used lightweight low-power wireless simulator Contiki/cooja simulator is implemented. The simulation results of the proposed model have shown a transmission ratio of 100%, a receiver ratio of 30 to 100%, and the detection of malicious nodes in a simulation time of 60 minutes. With the use of the proposed trust mechanism based on privacy access control, a less packet loss ratio of 0.43% is achieved along with less power consumption of 0.4%, and the highest average residual energy of 0.87mJoules at node 30. © (2023), (Intelligent Network and Systems Society). All Rights Reserved.

Year of Publication
2023
Journal
International Journal of Intelligent Engineering and Systems
Volume
16
Issue
5
Number of Pages
41-56,
Type of Article
Article
ISBN Number
2185310X (ISSN)
DOI
10.22266/ijies2023.1031.05
Publisher
Intelligent Network and Systems Society
Journal Article
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