Threat Vector–Hierarchical Attack Representation Model-Based Threat Modeling and Security Assessment for Satellite Networks

The rapid expansion of satellite networks has enabled the widespread deployment of satellite-based services across various sectors. However, these networks often prioritize cost-effectiveness over security considerations, leading to inherent architectural vulnerabilities. The complex architecture, comprising heterogeneous devices, operating systems, and communication protocols, exacerbates security risks and broadens the attack surface. Attackers can exploit these threat vectors to compromise system availability and data integrity. Prior research has primarily focused on specific security improvements, providing limited comprehensive evaluations and systematic threat modeling. This study proposes a systematic approach for modeling and analyzing satellite network security. A security framework originally developed for traditional networks has been adapted for satellite environments. Utilizing the Threat Vector–Hierarchical Attack Representation Model (TV-HARM), this study comprehensively models and analyzes threat vectors and network security. Key attack paths are identified, and vulnerabilities are quantitatively assessed using three refined security metrics. The experimental results reveal residual threats despite existing security measures, underscoring the need for robust defense strategies. This study presents a systematic framework for evaluating satellite network security, demonstrating the applicability and effectiveness of the proposed methodologies. These findings contribute to enhanced threat mitigation strategies and the overall improvement of satellite network security by addressing critical vulnerabilities.

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Publication Details

Journal
Applied Sciences
Published
2025-03-04
DOI
https://doi.org/10.3390/app15052751
Citations
2
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
6.49
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article

Threat Vector–Hierarchical Attack Representation Model-Based Threat Modeling and Security Assessment for Satellite Networks

Taehoon Eom, Junbeom Park, Zizung Yoon, Hyun-geun Kim et al.
2 citations
Applied Sciences
Information and Cyber Security
6.49
article

Threat Vector–Hierarchical Attack Representation Model-Based Threat Modeling and Security Assessment for Satellite Networks

Taehoon Eom, Junbeom Park, Zizung Yoon, Hyun-geun Kim, Jongsou Park, Hongsuk Park
article en
2 citations

Abstract

The rapid expansion of satellite networks has enabled the widespread deployment of satellite-based services across various sectors. However, these networks often prioritize cost-effectiveness over security considerations, leading to inherent architectural vulnerabilities. The complex architecture, comprising heterogeneous devices, operating systems, and communication protocols, exacerbates security risks and broadens the attack surface. Attackers can exploit these threat vectors to compromise system availability and data integrity. Prior research has primarily focused on specific security improvements, providing limited comprehensive evaluations and systematic threat modeling. This study proposes a systematic approach for modeling and analyzing satellite network security. A security framework originally developed for traditional networks has been adapted for satellite environments. Utilizing the Threat Vector–Hierarchical Attack Representation Model (TV-HARM), this study comprehensively models and analyzes threat vectors and network security. Key attack paths are identified, and vulnerabilities are quantitatively assessed using three refined security metrics. The experimental results reveal residual threats despite existing security measures, underscoring the need for robust defense strategies. This study presents a systematic framework for evaluating satellite network security, demonstrating the applicability and effectiveness of the proposed methodologies. These findings contribute to enhanced threat mitigation strategies and the overall improvement of satellite network security by addressing critical vulnerabilities.

Applied SciencesVol. 15(5)
Korea Aerospace University (KR)
Openalex Percentile: Top 5%
Information and Cyber Security
6.49
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