Secure and efficient mutual authentication protocol for smart grid under blockchain

  • PDF / 2,065,650 Bytes
  • 13 Pages / 595.224 x 790.955 pts Page_size
  • 72 Downloads / 197 Views

DOWNLOAD

REPORT


Secure and efficient mutual authentication protocol for smart grid under blockchain Weizheng Wang1

· Huakun Huang1,2 · Lejun Zhang3 · Chunhua Su1,4

Received: 21 August 2020 / Accepted: 16 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020

Abstract Smart grid has been acknowledged as the next-generation intelligent network that optimizes energy efficiency. Primarily through a bidirectional communication channel, suppliers and users can dynamically adjust power transmission in real time. Nonetheless, many security issues occur with the widespread deployment of smart grid, e.g., centralized register authority and potential Distributed-Denial-of-Service (DDoS) attack. These existing problems threaten the availability of smart grid. In this paper, we mainly focus on solving some identity authentication issues remained in the smart grid. Combined with blockchain, Elliptic Curve Cryptography (ECC), dynamic Join-and-Exit mechanism and batch verification, a reliable and efficient authentication protocol is proposed for smart meters and utility centers. Simultaneously, the provable security of this protocol is assured by the computational hard problem assumptions. Experiment results show that our protocol has achieved security and performance improvement compared with the other ECC related schemes. Keywords Smart grid · Authentication · Blockchain · Elliptic Curve Cryptography (ECC) · Security · Privacy

1 Introduction As the Internet of Things (IoT) proliferates [1], a large amount of electricity must be supplied sufficiently at the This article belongs to the Topical Collection: Special Issue on Blockchain for Peer-to-Peer Computing Guest Editors: Keping Yu, Chunming Rong, Yang Cao, and Wenjuan Li  Huakun Huang

[email protected]  Chunhua Su

[email protected] Weizheng Wang [email protected] Lejun Zhang [email protected] 1

School of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

2

School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin-City, Guangxi, China

3

College of Information Engineering, Yangzhou University, Jiangsu, China

4

Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, 518055 China

same time. In traditional power grid, the conventional resources (e.g., gas, oil, coal) are continuously used for power generation. The consumption of fossil energy resources brings out many problems, such as rarely high cost, more and more carbon dioxide (CO2 ) emission and environment pollution. Thus, renewable energy resources, such as wind energy, solar energy and tide energy, become significant options to satisfy the increasing requirements of power consumption. Unfortunately, since the traditional power grid is a one-way interaction system, the power plant can not obtain useful feedbacks from users to adjust the power supply strategy in time. Recently, along with the advent of smart grid (SG), the aforementioned problems existed in the electric power industry for a long period could be