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<p>As autonomous trucking systems in global logistics networks increase, their cyber-physical architecture introduces vulnerabilities that demand strategically prioritized security interventions. However, existing studies address technical threat vectors but lack frameworks for operationally contextualized cybersecurity decision-making. Therefore, this study employs a two-round Fuzzy Consensus Building method and Fuzzy CRiteria Importance Through Intercriteria Correlation method to systematically identify, validate, and prioritize 13 cybersecurity strategies specific to autonomous trucks. Thus, integrating interdisciplinary expert judgment and statistical variation, leveraging fuzzy set theory to model uncertainty, the study produces a prioritization strategy roadmap. Access Control, Blockchain-Based Integrity, and End-to-End Encryption emerged as top-tier strategies, reflecting a strategic shift toward proactive, architecture-level cybersecurity. The results offer actionable guidance for original equipment manufacturers (OEMs), fleet operators, and regulators, and highlight the need for adaptive policies that support the adoption of emerging technologies in freight automation. This study provides a validated roadmap to enhance cyber resilience in the autonomous logistics ecosystem.</p>

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A decision support framework of cybersecurity strategies for resilient deployment of autonomous trucks

  • 期刊论文

  • 发表日期：

    2026年4月20日

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  • Emmanuel Anu Thompson,
  • Xinyi Yang,
  • Pan Lu,
  • Raj Bridgelall,
  • Denver Tolliver

摘要

As autonomous trucking systems in global logistics networks increase, their cyber-physical architecture introduces vulnerabilities that demand strategically prioritized security interventions. However, existing studies address technical threat vectors but lack frameworks for operationally contextualized cybersecurity decision-making. Therefore, this study employs a two-round Fuzzy Consensus Building method and Fuzzy CRiteria Importance Through Intercriteria Correlation method to systematically identify, validate, and prioritize 13 cybersecurity strategies specific to autonomous trucks. Thus, integrating interdisciplinary expert judgment and statistical variation, leveraging fuzzy set theory to model uncertainty, the study produces a prioritization strategy roadmap. Access Control, Blockchain-Based Integrity, and End-to-End Encryption emerged as top-tier strategies, reflecting a strategic shift toward proactive, architecture-level cybersecurity. The results offer actionable guidance for original equipment manufacturers (OEMs), fleet operators, and regulators, and highlight the need for adaptive policies that support the adoption of emerging technologies in freight automation. This study provides a validated roadmap to enhance cyber resilience in the autonomous logistics ecosystem.