AI security and cyber risk in IoT systems
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866909346738208768 |
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| author | Radanliev, Petar De Roure, David Maple, Carsten Nurse, Jason R. C. Nicolescu, Razvan Ani, Uchenna |
| author_facet | Radanliev, Petar De Roure, David Maple, Carsten Nurse, Jason R. C. Nicolescu, Razvan Ani, Uchenna |
| contents | We present a dependency model tailored to the context of current challenges in data strategies and make recommendations for the cybersecurity community. The model can be used for cyber risk estimation and assessment and generic risk impact assessment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_09194 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI security and cyber risk in IoT systems Radanliev, Petar De Roure, David Maple, Carsten Nurse, Jason R. C. Nicolescu, Razvan Ani, Uchenna Cryptography and Security Artificial Intelligence Software Engineering We present a dependency model tailored to the context of current challenges in data strategies and make recommendations for the cybersecurity community. The model can be used for cyber risk estimation and assessment and generic risk impact assessment. |
| title | AI security and cyber risk in IoT systems |
| topic | Cryptography and Security Artificial Intelligence Software Engineering |
| url | https://arxiv.org/abs/2410.09194 |