You Are What You Broadcast: Identification of Mobile and IoT Devices from (Public) WiFi Lingjing Yu, Institute of Information Engineering, Chinese Academy of Sciences; School of Cybersecurity, University of the Chinese Academy of Sciences; Bo Luo, The University of Kansas; Jun Ma, Tsinghua University; Zhaoyu Zhou and Qingyun Liu, Institute of Information Engineering, Chinese Academy of Sciences https://www.usenix.org/conference/usenixsecurity20/presentation/yu This paper is included in the Proceedings of the 29th USENIX Security Symposium. August 12–14, 2020 978-1-939133-17-5 Open access to the Proceedings of the 29th USENIX Security Symposium is sponsored by USENIX. You Are What You Broadcast: Identification of Mobile and IoT Devices from (Public) WiFi Lingjing Yu†‡, Bo Luo§, Jun Ma]\, Zhaoyu Zhou†‡, Qingyun Liu†‡ † National Engineering Lab for Information Security Technologies Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China ‡ School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China § EECS/ITTC, The University of Kansas, Lawrence, KS, USA ] Tsinghua University, Beijing, China; \ Pi2star Technology, Beijing, China
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[email protected], {zhouzhaoyu,liuqingyun}@iie.ac.cn Abstract and coverage of WiFi will continue to expand, and WiFi traffic will account for 50% of total IP traffic by 2022. Meanwhile, With the rapid growth of mobile devices and WiFi hotspots, the number of public WiFi hotspots will grow 4-fold globally, security risks arise. In practice, it is critical for administrators from 124 million (2017) to 549 million (2022) in a five-year of corporate and public wireless networks to identify the type span [11].