2025/06/07 by Forough Shirin Abkenar, Abkenar, Forough Shirin
Computer Science · Engineering · Social Sciences · #FOS: Computer and information sciences #FOS: Electrical engineering #Human Mobility and Location-Based Analysis #IPv6, Mobility, Handover, Networks, Security #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #Wireless Networks and Protocols #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2506.06943
openalex publication_date 2025/06/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.