Honeyfile Camouflage: Hiding Fake Files in Plain Sight
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911872435879936 |
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| author | Timmer, Roelien C. Liebowitz, David Nepal, Surya Kanhere, Salil S. |
| author_facet | Timmer, Roelien C. Liebowitz, David Nepal, Surya Kanhere, Salil S. |
| contents | Honeyfiles are a particularly useful type of honeypot: fake files deployed to detect and infer information from malicious behaviour. This paper considers the challenge of naming honeyfiles so they are camouflaged when placed amongst real files in a file system. Based on cosine distances in semantic vector spaces, we develop two metrics for filename camouflage: one based on simple averaging and one on clustering with mixture fitting. We evaluate and compare the metrics, showing that both perform well on a publicly available GitHub software repository dataset. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_04758 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Honeyfile Camouflage: Hiding Fake Files in Plain Sight Timmer, Roelien C. Liebowitz, David Nepal, Surya Kanhere, Salil S. Cryptography and Security Artificial Intelligence Computation and Language Honeyfiles are a particularly useful type of honeypot: fake files deployed to detect and infer information from malicious behaviour. This paper considers the challenge of naming honeyfiles so they are camouflaged when placed amongst real files in a file system. Based on cosine distances in semantic vector spaces, we develop two metrics for filename camouflage: one based on simple averaging and one on clustering with mixture fitting. We evaluate and compare the metrics, showing that both perform well on a publicly available GitHub software repository dataset. |
| title | Honeyfile Camouflage: Hiding Fake Files in Plain Sight |
| topic | Cryptography and Security Artificial Intelligence Computation and Language |
| url | https://arxiv.org/abs/2405.04758 |