A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909060185456640 |
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| author | Camacho, Jose Manuel Couce-Vieira, Aitor Arroyo, David Insua, David Rios |
| author_facet | Camacho, Jose Manuel Couce-Vieira, Aitor Arroyo, David Insua, David Rios |
| contents | The introduction of the European Union Artificial Intelligence Act, the NIST Artificial Intelligence Risk Management Framework, and related norms demands a better understanding and implementation of novel risk analysis approaches to evaluate systems with Artificial Intelligence components. This paper provides a cybersecurity risk analysis framework that can help assessing such systems. We use an illustrative example concerning automated driving systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_01630 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components Camacho, Jose Manuel Couce-Vieira, Aitor Arroyo, David Insua, David Rios Artificial Intelligence Cryptography and Security Applications The introduction of the European Union Artificial Intelligence Act, the NIST Artificial Intelligence Risk Management Framework, and related norms demands a better understanding and implementation of novel risk analysis approaches to evaluate systems with Artificial Intelligence components. This paper provides a cybersecurity risk analysis framework that can help assessing such systems. We use an illustrative example concerning automated driving systems. |
| title | A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components |
| topic | Artificial Intelligence Cryptography and Security Applications |
| url | https://arxiv.org/abs/2401.01630 |