A Blind Signature-Aided Privacy-Preserving Power Request Scheme for Smart Grid

Author:

Zhang Weijian1,Guo Zhimin2,Li Nuannuan2,Li Mingyan2ORCID,Fan Qing3,Luo Min3ORCID

Affiliation:

1. State Grid Henan Electric Power Company, Zhengzhou, China

2. State Grid Henan Electric Power Research Institute, Zhengzhou, China

3. Wuhan Lianweitu Software Co., Ltd., Wuhan, China

Abstract

Smart grid is an emerging power system capable of providing appropriate electricity generation and distribution adjustments in the two-way communication mode. However, privacy preservation is a critical issue in the power request system since malicious adversaries could obtain users’ daily schedule through power transmission channel. Blind signature is an effective method of hiding users’ private information. In this paper, we propose an untraceable blind signature scheme under the reputable modification digital signature algorithm (MDSA). Moreover, we put forward an improved credential-based power request system architecture integrated with the proposed blind signature. In addition, we prove our blind signature’s blindness and unforgeability under the assumption of Elliptic Curve Discrete Logarithm Problem (ECDLP). Meanwhile, we analyze privacy preservation, unforgeability, untraceability, and verifiability of the proposed scheme. Computational cost analysis demonstrates that our scheme has better efficiency compared with other two blind signatures.

Publisher

Hindawi Limited

Subject

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

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2. Efficient Certificateless Blind Signature Scheme With Conditional Revocation for Mobile Crowdsensing Within Smart City;IEEE Internet of Things Journal;2024-05-01

3. An Auditable and Efficient Prepaid Scheme with Privacy Preservation in Smart Grids;2023 IEEE International Conference on Big Data and Smart Computing (BigComp);2023-02

4. Pairing-free certificateless blind signature scheme for smart grid;Journal of King Saud University - Computer and Information Sciences;2022-11

5. A Privacy-Aware Electricity Consumption Data Collection Model Based on Group Blind Signature;Security and Communication Networks;2022-05-19

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