Open Access

ARTICLE

Multi-dimensional Security Range Query for Industrial IoT

by Abdallah Abdallah¹, Ayman A. Aly², Bassem F. Felemban², Imran Khan³, Ki-Il Kim^4,*

1 School of Engineering Technology, Al Hussein Technical University (HTU), Amman, 11831, Jordan
2 Department of Mechanical Engineering, College of Engineering, Taif University, Taif, 21944, Saudi Arabia
3 Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan
4 Department of Computer Science and Engineering, Chungnam National University, Daejeon, 34134, Korea

* Corresponding Author: Ki-Il Kim. Email:

Computers, Materials & Continua 2022, 72(1), 157-179. https://doi.org/10.32604/cmc.2022.023907

Received 26 September 2021; Accepted 02 November 2021; Issue published 24 February 2022

Abstract

The Internet of Things (IoT) has allowed for significant advancements in applications not only in the home, business, and environment, but also in factory automation. Industrial Internet of Things (IIoT) brings all of the benefits of the IoT to industrial contexts, allowing for a wide range of applications ranging from remote sensing and actuation to decentralization and autonomy. The expansion of the IoT has been set by serious security threats and obstacles, and one of the most pressing security concerns is the secure exchange of IoT data and fine-grained access control. A privacy-preserving multi-dimensional secure query technique for fog-enhanced IIoT was proposed in light of the fact that most existing range query schemes for fog-enhanced IoT cannot provide both multi-dimensional query and privacy protection. The query matrix was then decomposed using auxiliary vectors, and the auxiliary vector was then processed using BGN homomorphic encryption to create a query trapdoor. Finally, the query trapdoor may be matched to its sensor data using the homomorphic computation used by an IoT device terminal. With the application of particular auxiliary vectors, the spatial complexity might be efficiently decreased. The homomorphic encryption property might ensure the security of sensor data and safeguard the privacy of the user's inquiry mode. The results of the experiments reveal that the computing and communication expenses are modest.

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Keywords

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