Hunting the Ghost: Towards Automatic Mining of IoT Hidden Services
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866910972328804352 |
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| author | Dong, Shuaike Shen, Siyu Li, Zhou Zhang, Kehuan |
| author_facet | Dong, Shuaike Shen, Siyu Li, Zhou Zhang, Kehuan |
| contents | In this paper, we proposes an automatic firmware analysis tool targeting at finding hidden services that may be potentially harmful to the IoT devices. Our approach uses static analysis and symbolic execution to search and filter services that are transparent to normal users but explicit to experienced attackers. A prototype is built and evaluated against a dataset of IoT firmware, and The evaluation shows our tool can find the suspicious hidden services effectively. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_06822 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Hunting the Ghost: Towards Automatic Mining of IoT Hidden Services Dong, Shuaike Shen, Siyu Li, Zhou Zhang, Kehuan Cryptography and Security In this paper, we proposes an automatic firmware analysis tool targeting at finding hidden services that may be potentially harmful to the IoT devices. Our approach uses static analysis and symbolic execution to search and filter services that are transparent to normal users but explicit to experienced attackers. A prototype is built and evaluated against a dataset of IoT firmware, and The evaluation shows our tool can find the suspicious hidden services effectively. |
| title | Hunting the Ghost: Towards Automatic Mining of IoT Hidden Services |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2505.06822 |