SH-SDS: a new static-dynamic strategy for substation host security detection

A substation is integral to the functioning of a power grid, enabling the efficient and safe transmission and distribution of electrical energy to meet the demands of consumers. The digital transformation of critical infrastructures, particularly in the electric power sector, such as the emergence of intelligent substations, is a double-edged sword. While it brings about efficiency improvements and consumer-centric advancements, it raises concerns about the heightened vulnerability to cyberattacks. This article proposes a new static-dynamic strategy for host security detection by implementing a system prototype and evaluating its detection accuracy. To reduce the subjectivity in manually selecting features, we combine classified protection for cybersecurity-related standards and construct the requirement generation algorithm to construct a network security detection standard library for the substation host. Based on this, we develop strategy generation algorithm to match the list of host detection projects to obtain the security detection strategy of the target host. Moreover, we output and analyze the detection logs to obtain a security detection report. The prototype is efficient and effective through practical use, and it serves as a practical tool in substation host security detection. The experiments suggest that the mechanism proposed in our study can operate at a high speed and demonstrates satisfactory performance in terms of detection.

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Publication Details

Journal
PeerJ Computer Science
Published
2024-11-22
DOI
https://doi.org/10.7717/peerj-cs.2512
Citations
2
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.66

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article

SH-SDS: a new static-dynamic strategy for substation host security detection

Abdur Rasool, Wei Liu, Hui Chen, Yang Diao
2 citations
PeerJ Computer Science
Smart Grid Security and Resilience
0.66
article

SH-SDS: a new static-dynamic strategy for substation host security detection

Abdur Rasool, Wei Liu, Hui Chen, Yang Diao
article en
2 citations

Abstract

A substation is integral to the functioning of a power grid, enabling the efficient and safe transmission and distribution of electrical energy to meet the demands of consumers. The digital transformation of critical infrastructures, particularly in the electric power sector, such as the emergence of intelligent substations, is a double-edged sword. While it brings about efficiency improvements and consumer-centric advancements, it raises concerns about the heightened vulnerability to cyberattacks. This article proposes a new static-dynamic strategy for host security detection by implementing a system prototype and evaluating its detection accuracy. To reduce the subjectivity in manually selecting features, we combine classified protection for cybersecurity-related standards and construct the requirement generation algorithm to construct a network security detection standard library for the substation host. Based on this, we develop strategy generation algorithm to match the list of host detection projects to obtain the security detection strategy of the target host. Moreover, we output and analyze the detection logs to obtain a security detection report. The prototype is efficient and effective through practical use, and it serves as a practical tool in substation host security detection. The experiments suggest that the mechanism proposed in our study can operate at a high speed and demonstrates satisfactory performance in terms of detection.

PeerJ Computer ScienceVol. 10
Shenzhen Polytechnic University (CN), Chinese Academy of Sciences (CN), Shenzhen Institutes of Advanced Technology (CN), China Southern Power Grid (China) (CN)
Shenzhen Polytechnic
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Smart Grid Security and Resilience
0.66
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SH-SDS: a new static-dynamic strategy for substation host security detection — Abdur Rasool, Wei Liu, et al. · PeerJ Computer Science (2024) | TGRS Research Map | TGRS