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An Identity Based Authentication Protocol for Smart Grid Environment Using Physical Uncloneable Function

delete2021-09-01
delete28
PRE
AI
H
Hafiz Muhammad Sanaullah Badar
S
Salman Qadri
S
Salman Shamshad
M
Muhammad Faizan Ayub
K
Khalid Mahmood
N
Neeraj Kumar *
DOI:10.1109/TSG.2021.3072244delete
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摘要

摘要

En 中文
Smart grid plays an important role in managing demand response management in modern smart city using Information and Communication Technologies (ICTs). In smart grid environment, sensors are widely used for surveillance. These are deployed on the high tension power supply lines which help to share the information to control center about line breakage or any other flaw. Besides the cyber-attacks, sensors may also experience physical attacks as they are deployed on high-tension power lines in an open environment. Moreover, an attacker can also impersonate the information exchanged between sensors, gateways and control centers. Therefore, the most indispensable requirement is to prevent these cyber-attacks and physical attacks so that a secure and efficient surveillance system can be maintained for smart grid environment. Motivated from these, in this article, we propose an identity based authentication protocol for power supply-line surveillance in smart grid environment using physical uncloneable function. The performance analysis shows that our proposed protocol is resilient to various cyber-attacks alongwith the physical attacks on sensors. The proposed protocol is efficient as it has less computation cost as compared to various related protocols. Although, the communication cost of devised protocol is slightly higher than some protocols but it also offers three added security features as compared to other related protocols.
Keyword:
Protocols
Sensors
Intelligent sensors
Smart grids
Security
Authentication
Surveillance
Authentication protocol
mutual authentication
smart grid
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期刊

IEEE Transactions on Smart Grid 封面图
IEEE Transactions on Smart Grid
IF:
9.8
论文数:
5.8K
被引数:
4.3W

机构

A
asia university taiwan
学者数:
2.0K
论文数: 2.8K
被引数: 5
I
Islamia University of Bahawalpur
学者数:
4.5K
论文数: 3.6K
被引数: 5.3K
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