Enhanced TARA model for heavy-duty vehicles using ISO/SAE 21434 and Fuzzy Analytic Hierarchy Process (FAHP)

• An automated Threat Analysis and Risk Assessment (TARA) model for heavy-duty vehicles, based on ISO/SAE 21434, is proposed. • FAHP, based on expert opinion, is utilized for weight assignment to criteria of feasibility and risk severity for passenger transport and commercial freight vehicles. • Attackers’ knowledge of the system and extended windows of opportunity play a crucial role in the feasibility assessment of heavy-duty vehicles. In recent years, the automotive industry has increasingly recognized the importance of Threat Analysis and Risk Assessment (TARA) as a critical first step in cybersecurity planning. While standards such as ISO/SAE 21,434 provide a structured framework, they are primarily designed for light-duty vehicles and do not fully address the unique characteristics, operational environments, and vulnerabilities of heavy-duty (HD) commercial vehicles—despite their crucial role in public transportation, freight systems, and the supply chain. This study addresses that gap by customizing the ISO/SAE 21,434 risk assessment model specifically for HD vehicles. It employs a Multi-Criteria Decision-Making (MCDM) methodology to assign weights to the severity and feasibility criteria using expert input through the Fuzzy Analytic Hierarchy Process (FAHP). Expert-driven pairwise comparisons were conducted to evaluate the relative importance of each criterion separately for severity and feasibility assessment. The resulting model provides a tailored and robust approach for analyzing and assessing cybersecurity threats in HD vehicles, reflecting their distinct needs and risk profiles.

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Institutions

Publication Details

Journal
Expert Systems with Applications
Published
2025-06-02
DOI
https://doi.org/10.1016/j.eswa.2025.128441
Citations
3
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
6.32

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article

Enhanced TARA model for heavy-duty vehicles using ISO/SAE 21434 and Fuzzy Analytic Hierarchy Process (FAHP)

Mitra Mirhassani, Beth‐Anne Schuelke‐Leech, Narges Rahimi
3 citations
Expert Systems with Applications
Multi-Criteria Decision Making
6.32
article

Enhanced TARA model for heavy-duty vehicles using ISO/SAE 21434 and Fuzzy Analytic Hierarchy Process (FAHP)

Mitra Mirhassani, Beth‐Anne Schuelke‐Leech, Narges Rahimi
article en
3 citations

Abstract

• An automated Threat Analysis and Risk Assessment (TARA) model for heavy-duty vehicles, based on ISO/SAE 21434, is proposed. • FAHP, based on expert opinion, is utilized for weight assignment to criteria of feasibility and risk severity for passenger transport and commercial freight vehicles. • Attackers’ knowledge of the system and extended windows of opportunity play a crucial role in the feasibility assessment of heavy-duty vehicles. In recent years, the automotive industry has increasingly recognized the importance of Threat Analysis and Risk Assessment (TARA) as a critical first step in cybersecurity planning. While standards such as ISO/SAE 21,434 provide a structured framework, they are primarily designed for light-duty vehicles and do not fully address the unique characteristics, operational environments, and vulnerabilities of heavy-duty (HD) commercial vehicles—despite their crucial role in public transportation, freight systems, and the supply chain. This study addresses that gap by customizing the ISO/SAE 21,434 risk assessment model specifically for HD vehicles. It employs a Multi-Criteria Decision-Making (MCDM) methodology to assign weights to the severity and feasibility criteria using expert input through the Fuzzy Analytic Hierarchy Process (FAHP). Expert-driven pairwise comparisons were conducted to evaluate the relative importance of each criterion separately for severity and feasibility assessment. The resulting model provides a tailored and robust approach for analyzing and assessing cybersecurity threats in HD vehicles, reflecting their distinct needs and risk profiles.

Expert Systems with ApplicationsVol. 291
University of Windsor (CA)
University of Windsor, Mitacs, FedDev Ontario
Affordable and clean energy
Openalex Percentile: Top 4%
Multi-Criteria Decision Making
6.32
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Enhanced TARA model for heavy-duty vehicles using ISO/SAE 21434 and Fuzzy Analytic Hierarchy Process (FAHP) — Mitra Mirhassani, Beth‐Anne Schuelke‐Leech, et al. · Expert Systems with Applications (2025) | TGRS Research Map | TGRS