LAPSE:2020.0716
Published Article
LAPSE:2020.0716
Elgamal Elliptic Curve Based Secure Communication Architecture for Microgrids
June 23, 2020
Microgrids play an important role in today’s power systems as the distributed generation is becoming increasingly common. They can operate in two possible modes: (i) standalone and (ii) grid-connected. The transitional state from standalone to grid-connected mode is very critical and requires the microgrid to be synchronized with the main grid. Thus, secure, reliable and trustworthy control and communication is utmost necessary to prevent out-of-sync connection which could severely damage the microgrid and/or the main grid. Existing solutions consume more resources and take long time to establish a secure connection. The objective of the proposed work is to reduce the connection establishment time by using efficient computational algorithms and save the resources. This paper proposes a secure authentication and key establishment mechanism for ensuring safe operation and control of the microgrids. The proposed approach uses the concept of Elgamal with slight modification. Private key of the sender is used instead of a random number. The proposed modification ensures the non repudiation. This paper also presents a system threat model along with security network architecture and evaluates the performance of proposed algorithm in protecting microgrid communication against man in the middle attacks and replay attacks that could delay the packets to damage the system and need to be detected. Mathematical modeling and simulation results show that the proposed algorithm performs better than the existing protocols in terms of connection establishment, resource consumption and security level.
Keywords
microgrid, secure communication, security
Suggested Citation
Khan S, Khan R. Elgamal Elliptic Curve Based Secure Communication Architecture for Microgrids. (2020). LAPSE:2020.0716
Author Affiliations
Khan S: School of Computer Science and Informatics, De Montfort University, Leicester LE1 9BH, UK [ORCID]
Khan R: School of Electronics, Electrical Engineering and Computer Science (EEECS) , Queen's University Belfast, Belfast BT7 1NN, UK [ORCID]
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Journal Name
Energies
Volume
11
Issue
4
Article Number
E759
Year
2018
Publication Date
2018-03-27
Published Version
ISSN
1996-1073
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Original Submission
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PII: en11040759, Publication Type: Journal Article
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LAPSE:2020.0716
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doi:10.3390/en11040759
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Jun 23, 2020
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CC BY 4.0
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Jun 23, 2020
 
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Original Submitter
Calvin Tsay
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