Approaches to Cybersecurity in UAS in the SORA Process: A Systematic Literature Review of Standards, Probabilistic Models, and AI Integration

The present literature review identifies substantial research and applied potential in the combined utilization of internationally recognized information security standards, Bayesian networks, and AI-based assistants to enhance cyber resilience in Unmanned Aerial Systems (UAS) operations within the specific category defined by the SORA (Specific Operations Risk Assessment) methodology. The analysis reveals that while the existing literature individually addresses key components such as ISO/IEC 27001, NIST SP 800-53, MITRE ATT&CK, Bayesian models, and AI techniques, integrated methodologies that unify these elements into a comprehensive and operationally applicable framework are lacking. Particularly underrepresented is the connection to the Cyber Safety Extension of SORA, as well as the synergistic application of quantitative analysis and automation through intelligent systems. The review concludes that a systematic effort is required to develop a holistic framework that reflects the dynamic regulatory demands, operational environments, and contemporary threats facing drone technologies.

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Publication Details

Published
2026-01-14
DOI
https://doi.org/10.3390/engproc2025121017
Citations
1
Primary Topic
Military Strategy and Technology
Type
article
Field-Weighted Citation Impact
25.04
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article

Approaches to Cybersecurity in UAS in the SORA Process: A Systematic Literature Review of Standards, Probabilistic Models, and AI Integration

Vladimir Serbezov, Anton Puliyski
1 citations
Military Strategy and Technology
25.04
article

Approaches to Cybersecurity in UAS in the SORA Process: A Systematic Literature Review of Standards, Probabilistic Models, and AI Integration

Vladimir Serbezov, Anton Puliyski
article en
1 citations

Abstract

The present literature review identifies substantial research and applied potential in the combined utilization of internationally recognized information security standards, Bayesian networks, and AI-based assistants to enhance cyber resilience in Unmanned Aerial Systems (UAS) operations within the specific category defined by the SORA (Specific Operations Risk Assessment) methodology. The analysis reveals that while the existing literature individually addresses key components such as ISO/IEC 27001, NIST SP 800-53, MITRE ATT&CK, Bayesian models, and AI techniques, integrated methodologies that unify these elements into a comprehensive and operationally applicable framework are lacking. Particularly underrepresented is the connection to the Cyber Safety Extension of SORA, as well as the synergistic application of quantitative analysis and automation through intelligent systems. The review concludes that a systematic effort is required to develop a holistic framework that reflects the dynamic regulatory demands, operational environments, and contemporary threats facing drone technologies.

Technical University of Sofia (BG)
Openalex Percentile: Top 2%
Military Strategy and Technology
25.04
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Approaches to Cybersecurity in UAS in the SORA Process: A Systematic Literature Review of Standards, Probabilistic Models, and AI Integration — Vladimir Serbezov, Anton Puliyski · (2026) | TGRS Research Map | TGRS