TrustNextGen: Security Aspects of Trustworthy Next Generation Industrial Internet of Things (IIoT)
Loading...
Links to Files
Author/Creator
Author/Creator ORCID
Date
2024-02-26
Type of Work
Department
Program
Citation of Original Publication
Rathee, Geetanjali, Razi Iqbal, Chaker Abdelaziz Kerrache, and Houbing Song. "TrustNextGen: Security Aspects of Trustworthy Next Generation Industrial Internet of Things (IIoT)." IEEE Internet of Things Journal, 2024, 1-1. https://doi.org/10.1109/JIOT.2024.3361801.
Rights
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Abstract
With the expansion of Internet-of-Things (IoT), security of smart devices is becoming major or primary concern in today's era. The increasing demand of consumer electronics due its recent evolution, the personal information that is shared is becoming valuable. In addition, the next generation of Industrial Internet of Things (IIoT) devices include features such as low cost, automation, intelligence provision, reduced overhead, efficiency, and remote interactions while communicating or transmitting information among themselves. There are very few authors who have focused on next gen IIoT while improving the efficiency along with providing the security among devices in the network. Therefore, we have proposed a hybrid trusted model by integrating objective model and fuzzy evaluation matrix method to ensure a secure and efficient transmission method among devices in the network. The proposed mechanism is simulated and experimented over various parameters such as detection ratio and network-related performance and functional tests compared to state-of-art solutions.