An Efficient Multidocument Blind Signcryption Scheme for Smart Grid-Enabled Industrial Internet of Things

Author:

Abdullah Ako Muhammad1ORCID,Ullah Insaf2,Khan Muhammad Asghar2ORCID,Alsharif Mohammed H.3ORCID,Mostafa Samih M.4ORCID,Wu Jimmy Ming-Tai5ORCID

Affiliation:

1. University of Sulaimani, College of Basic Education, Computer Science Department, Sulaimaniyah, Kurdistan Region, Iraq

2. Hamdard Institute of Engineering & Technology, Islamabad 44000, Pakistan

3. Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul 05006, Republic of Korea

4. Faculty of Computers and Information, South Valley University, Qena 83523, Egypt

5. College of Computer Science and Technology, Shandong University of Science and Technology, Shandong, China

Abstract

The smart grid-enabled industrial Internet of Things (SG-IIoT) is a hybrid data communication network connected with the power grid that collects and analyzes data from transmission lines, distribution substations, and consumers. In the IIoT setting, SG provides predictive information to its supplier and customers on how to effectively manage the power based on this aggregated data. To achieve this goal, every virtual or physical entity in the SG-IIoT must be linked and accessible over the Internet, which can be susceptible to numerous cyberattacks. In this paper, we propose a multidocument blind signcryption scheme to simultaneously resolve the security and efficiency issues. The proposed scheme performs the blind signature and encryption operation on multiple digital documents in one step because SG-IIoT outputs a large amount of data that needs to be blind signed and encrypted in a batch. The proposed scheme employs the concept of hyperelliptic curve cryptography (HECC), which is lightweight owing to the smaller key size. The comparative analysis in both security and efficiency with the relevant existing scheme authenticates the viability of the proposed scheme.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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