Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2404.19643 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866929331754762240 |
|---|---|
| author | Mohamad, Mazen Avula, Ramana Reddy Folkesson, Peter Kleberger, Pierre Mirzai, Aria Skoglund, Martin Damschen, Marvin |
| author_facet | Mohamad, Mazen Avula, Ramana Reddy Folkesson, Peter Kleberger, Pierre Mirzai, Aria Skoglund, Martin Damschen, Marvin |
| contents | The increased importance of cybersecurity in autonomous machinery is becoming evident in the forestry domain. Forestry worksites are becoming more complex with the involvement of multiple systems and system of systems. Hence, there is a need to investigate how to address cybersecurity challenges for autonomous systems of systems in the forestry domain. Using a literature review and adapting standards from similar domains, as well as collaborative sessions with domain experts, we identify challenges towards CE-certified autonomous forestry machines focusing on cybersecurity and safety. Furthermore, we discuss the relationship between safety and cybersecurity risk assessment and their relation to AI, highlighting the need for a holistic methodology for their assurance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_19643 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Cybersecurity Pathways Towards CE-Certified Autonomous Forestry Machines Mohamad, Mazen Avula, Ramana Reddy Folkesson, Peter Kleberger, Pierre Mirzai, Aria Skoglund, Martin Damschen, Marvin Software Engineering The increased importance of cybersecurity in autonomous machinery is becoming evident in the forestry domain. Forestry worksites are becoming more complex with the involvement of multiple systems and system of systems. Hence, there is a need to investigate how to address cybersecurity challenges for autonomous systems of systems in the forestry domain. Using a literature review and adapting standards from similar domains, as well as collaborative sessions with domain experts, we identify challenges towards CE-certified autonomous forestry machines focusing on cybersecurity and safety. Furthermore, we discuss the relationship between safety and cybersecurity risk assessment and their relation to AI, highlighting the need for a holistic methodology for their assurance. |
| title | Cybersecurity Pathways Towards CE-Certified Autonomous Forestry Machines |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2404.19643 |