Supplementary Material for Leveraging Large Language Models for Cybersecurity Risk Assessment in Cyber-Physical Systems: A Case Study in Forestry Automation

Interview Guides, Survey Guide, and Interactive session Guide for the study "Leveraging Large Language Models for Cybersecurity Risk Assessment in Cyber-Physical Systems: A Case Study in Forestry Automation"

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-14
DOI
https://doi.org/10.5281/zenodo.14163766
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Supplementary Material for Leveraging Large Language Models for Cybersecurity Risk Assessment in Cyber-Physical Systems: A Case Study in Forestry Automation

Zenodo (CERN European Organization for Nuclear Research)
Information and Cyber Security
article

Supplementary Material for Leveraging Large Language Models for Cybersecurity Risk Assessment in Cyber-Physical Systems: A Case Study in Forestry Automation

article en

Abstract

Interview Guides, Survey Guide, and Interactive session Guide for the study "Leveraging Large Language Models for Cybersecurity Risk Assessment in Cyber-Physical Systems: A Case Study in Forestry Automation"

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 36%
Information and Cyber Security
DOIOpen Access PDFOpenAlex
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Supplementary Material for Leveraging Large Language Models for Cybersecurity Risk Assessment in Cyber-Physical Systems: A Case Study in Forestry Automation · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS