WiFiSim: Simulating WiFi Probe Requests via AOSP Analysis and Device Behavior Modeling
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866916957351051264 |
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| author | Hao, Lifei Cheng, Yue Wang, Min Jia, Bing Huang, Baoqi |
| author_facet | Hao, Lifei Cheng, Yue Wang, Min Jia, Bing Huang, Baoqi |
| contents | WiFi probe request (PR) frames encode fine-grained device interactions and serve as a critical basis for mobility and crowd analytics. However, pervasive MAC address randomization and the scarcity of labeled datasets hinder progress in PR-based studies. We introduce WiFiSim, a simulation framework that reconstructs PR generation through Android Open Source Project (AOSP) protocol analysis and finite-state device behavior modeling. WiFiSim identifies the key determinants of PR structure and timing while capturing realistic user-driven state transitions. Experiments show that WiFiSim achieves less than 5% deviation from real measurements in both distributional and temporal dynamics, scales to large-scale dataset synthesis, and enables reliable evaluation of downstream applications. Source code and sample datasets are publicly released to foster reproducible research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_15501 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | WiFiSim: Simulating WiFi Probe Requests via AOSP Analysis and Device Behavior Modeling Hao, Lifei Cheng, Yue Wang, Min Jia, Bing Huang, Baoqi Networking and Internet Architecture WiFi probe request (PR) frames encode fine-grained device interactions and serve as a critical basis for mobility and crowd analytics. However, pervasive MAC address randomization and the scarcity of labeled datasets hinder progress in PR-based studies. We introduce WiFiSim, a simulation framework that reconstructs PR generation through Android Open Source Project (AOSP) protocol analysis and finite-state device behavior modeling. WiFiSim identifies the key determinants of PR structure and timing while capturing realistic user-driven state transitions. Experiments show that WiFiSim achieves less than 5% deviation from real measurements in both distributional and temporal dynamics, scales to large-scale dataset synthesis, and enables reliable evaluation of downstream applications. Source code and sample datasets are publicly released to foster reproducible research. |
| title | WiFiSim: Simulating WiFi Probe Requests via AOSP Analysis and Device Behavior Modeling |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2509.15501 |