AI in Carbon Sink Trading: Using Attack Trees to Assess Low- to Medium-Risk Scenarios.

Zhu M, Huang H, Di K, Zhang X

DOI: 10.1111/risa.70209
Published: 2026 Mar
Container: Risk analysis : an official publication of the Society for Risk Analysis
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/risa.70209,
  title = {AI in Carbon Sink Trading: Using Attack Trees to Assess Low- to Medium-Risk Scenarios.},
  author = {Zhu M and Huang H and Di K and Zhang X},
  year = {2026},
  journal = {Risk analysis : an official publication of the Society for Risk Analysis},
  doi = {10.1111/risa.70209},
  url = {https://doi.org/10.1111/risa.70209}
}

RIS

TY  - JOUR
TI  - AI in Carbon Sink Trading: Using Attack Trees to Assess Low- to Medium-Risk Scenarios.
AU  - Zhu M
AU  - Huang H
AU  - Di K
AU  - Zhang X
PY  - 2026
JO  - Risk analysis : an official publication of the Society for Risk Analysis
DO  - 10.1111/risa.70209
UR  - https://doi.org/10.1111/risa.70209
ER  -

APA

M, Z., H, H., K, D., & X, Z. (2026). AI in Carbon Sink Trading: Using Attack Trees to Assess Low- to Medium-Risk Scenarios.. Risk analysis : an official publication of the Society for Risk Analysis. https://doi.org/10.1111/risa.70209

Source records

pubmed · retrieved 2026-09-27T11:40:21.851Z