Lightweight Searchable Encryption Protocol for Industrial Internet of Things

Ke ZHANG, Jiahuan LONG, Xiaofen WANG, Hong Ning DAI*, Kaitai LIANG, Muhammad IMRAN

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

9 Citations (Scopus)


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.

Original languageEnglish
Article number9158514
Pages (from-to)4248-4259
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Issue number6
Early online date4 Aug 2020
Publication statusPublished - Jun 2021
Externally publishedYes

Bibliographical note

Funding Information:
Manuscript received May 8, 2020; revised June 22, 2020; accepted July 21, 2020. Date of publication August 4, 2020; date of current version March 5, 2021. 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. (Corresponding author: Hong-Ning Dai.) Ke Zhang and Xiaofen Wang are with the School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China (e-mail:;

Publisher Copyright:
© 2005-2012 IEEE.


  • Attribute based encryption
  • industrial internet of things
  • multiauthority
  • multikeyword search


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