- Title
- Lightweight searchable encryption protocol for industrial internet of things
- Creator
- Zhang, Ke; Long, Jiahuan; Wang, Xiaofen; Dai, Hong-Ning; Liang, Kaitai; Imran, Muhammad
- Date
- 2021
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/185767
- Identifier
- vital:16773
- Identifier
-
https://doi.org/10.1109/TII.2020.3014168
- Identifier
- ISBN:1551-3203 (ISSN)
- Abstract
- Industrial Internet of Things (IoT) has suffered from insufficient identity authentication and dynamic network topology, thereby resulting in vulnerabilities to data confidentiality. Recently, the attribute-based encryption (ABE) schemes have been regarded as a solution to ensure data transmission security and the fine-grained sharing of encrypted IoT data. However, most of existing ABE schemes that bring tremendous computational cost are not suitable for resource-constrained IoT devices. Therefore, lightweight and efficient data sharing and searching schemes suitable for IoT applications are of great importance. To this end, In this article, we propose a light searchable ABE scheme (namely LSABE). Our scheme can significantly reduce the computing cost of IoT devices with the provision of multiple-keyword searching for data users. Meanwhile, we extend the LSABE scheme to multiauthority scenarios so as to effectively generate and manage the public/secret keys in the distributed IoT environment. Finally, the experimental results demonstrate that our schemes can significantly maintain computational efficiency and save the computational cost at IoT devices, compared to other existing schemes. © 2005-2012 IEEE.
- Publisher
- IEEE Computer Society
- Relation
- IEEE Transactions on Industrial Informatics Vol. 17, no. 6 (2021), p. 4248-4259
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2020 IEEE
- Subject
- 40 Engineering; 46 Information and computing sciences; Attribute based encryption; Industrial internet of things; Multiauthority; Multikeyword search
- Reviewed
- Funder
- This work was supported in part by the Sichuan Science and Technology Program under Grant 2019YFG0405, in part by the Natural Science Foundation of China under Grant U1833122, and in part by the Macao Science and Technology Development Fund under Grant 0026/2018/A1. The work of Muhammad Imran was supported by the Deanship of Scientific Research at King Saud University through research group Project RG-1435-051 Paper no. TII-20-2295.
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