WiFi Pathologies Detection using LLMs
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866908398764687360 |
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| author | Abkenar, Forough Shirin |
| author_facet | Abkenar, Forough Shirin |
| contents | In this paper, we fine-tune encoder-only and decoder-only large language models (LLMs) to detect pathologies in IEEE 802.11 networks, commonly known as WiFi. Our approach involves manually crafting prompts followed by fine-tuning. Evaluations show that the sequential model achieves high detection accuracy using labeled data, while the causal model performs equally well for unlabeled data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_06943 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | WiFi Pathologies Detection using LLMs Abkenar, Forough Shirin Signal Processing Networking and Internet Architecture In this paper, we fine-tune encoder-only and decoder-only large language models (LLMs) to detect pathologies in IEEE 802.11 networks, commonly known as WiFi. Our approach involves manually crafting prompts followed by fine-tuning. Evaluations show that the sequential model achieves high detection accuracy using labeled data, while the causal model performs equally well for unlabeled data. |
| title | WiFi Pathologies Detection using LLMs |
| topic | Signal Processing Networking and Internet Architecture |
| url | https://arxiv.org/abs/2506.06943 |