@inproceedings{cd660acaeb19403197133d136c5b7368,
title = "AirCollect: Efficiently recovering hashed phone numbers leaked via Apple AirDrop",
keywords = "hashing, iOS, macOS, personal information, privacy, rainbow table",
author = "Alexander Heinrich and Matthias Hollick and Thomas Schneider and Milan Stute and Christian Weinert",
note = "Funding Information: This project has received funding from the European Research Council (ERC) under the European Union{\textquoteright}s Horizon 2020 research and innovation program (grant agreement No. 850990 PSOTI). It was co-funded by the Deutsche Forschungsgemeinschaft (DFG) – SFB 1119 CROSSING/236615297 and GRK 2050 Privacy & Trust/251805230, by the LOEWE initiative (Hesse, Germany) within the emergenCITY center, by the German Federal Ministry of Education and Research and the Hessian State Ministry for Higher Education, Research and the Arts within ATHENE. Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2021 ; Conference date: 28-06-2021 Through 02-07-2021",
year = "2021",
month = jun,
day = "21",
doi = "10.1145/3448300.3468252",
language = "English",
series = "WiSec 2021 - Proceedings of the 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks",
publisher = "Association for Computing Machinery, Inc",
pages = "371--373",
booktitle = "WiSec 2021 - Proceedings of the 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks",
}