A Key Distribution Security Association-Based Confidentiality Isolation Control Framework for Smart Microgrids

With the growing integration of Smart Microgrids, cybersecurity concerns have become increasingly critical. Micro-grids face a variety of sophisticated cyber threats, including False Data Injection Attacks (FDIA), Denial of Service (DoS) Attacks, and Privilege Escalation Attacks, which compromise secure operations by obstructing communication networks and control systems. Existing security architectures lack the flexibility and adaptability to address the unique demands of microgrids. This paper proposes a novel Key Distribution Security Association-Based Confidentiality Isolation Control Framework, leveraging a dynamic GDOI multicast security association allocation method. The framework introduces fine-grained cryptographic boundary definitions and secure interconnection mechanisms to enhance microgrid security. By employing distinct Security Parameter Indexes (SPI) and integrating heartbeat signals, the framework achieves independent Security Associations (SA), effectively addressing issues like source authentication, replay attacks, and resource inefficiencies. Simulations and security analyses validate the proposed framework’s ability to defend against FDIA and replay attacks while reducing storage overhead and supporting dynamic adaptability in complex environments. This framework provides a scalable and practical solution for the secure operation of Smart Microgrids.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/smartcloud66068.2025.00010
Primary Topic
Smart Grid Security and Resilience
Type
article
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article

A Key Distribution Security Association-Based Confidentiality Isolation Control Framework for Smart Microgrids

Aoying Ji, Jichao Ye, Hui Huang, Ping Wang et al.
Smart Grid Security and Resilience
article

A Key Distribution Security Association-Based Confidentiality Isolation Control Framework for Smart Microgrids

Aoying Ji, Jichao Ye, Hui Huang, Ping Wang, Yonghai Xu, Wu Lu
article en

Abstract

With the growing integration of Smart Microgrids, cybersecurity concerns have become increasingly critical. Micro-grids face a variety of sophisticated cyber threats, including False Data Injection Attacks (FDIA), Denial of Service (DoS) Attacks, and Privilege Escalation Attacks, which compromise secure operations by obstructing communication networks and control systems. Existing security architectures lack the flexibility and adaptability to address the unique demands of microgrids. This paper proposes a novel Key Distribution Security Association-Based Confidentiality Isolation Control Framework, leveraging a dynamic GDOI multicast security association allocation method. The framework introduces fine-grained cryptographic boundary definitions and secure interconnection mechanisms to enhance microgrid security. By employing distinct Security Parameter Indexes (SPI) and integrating heartbeat signals, the framework achieves independent Security Associations (SA), effectively addressing issues like source authentication, replay attacks, and resource inefficiencies. Simulations and security analyses validate the proposed framework’s ability to defend against FDIA and replay attacks while reducing storage overhead and supporting dynamic adaptability in complex environments. This framework provides a scalable and practical solution for the secure operation of Smart Microgrids.

State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN)
Reduced inequalities
Openalex Percentile: Top 88%
Smart Grid Security and Resilience
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A Key Distribution Security Association-Based Confidentiality Isolation Control Framework for Smart Microgrids — Aoying Ji, Jichao Ye, et al. · (2025) | TGRS Research Map | TGRS