A method for deanonymizing iOS users through the Airdrop protocol.
Keywords:
iOS, BLE, randomized MAC address, Advertising messages, definition of smartphone location
Abstract
The paper proposes a tracking algorithm for iOS devices using dynamically randomized MAC addresses and BLE advertisements.
References
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2. Cha S.-C., Yeh K.-H., Chen J.-F. Toward a robust security paradigm for Bluetooth low energy-based smart objects in the Internet-of-Things. Sensors. 2017. Vol. 17, no. 2348. P. 1-17. DOI:10.3390/s17102348.
3. Gangwal A., Singh S., Spolaor R., Srivastava A. BLE Whisperer: Exploiting BLE Advertisements for data exfiltra-tion. In book: Computer Security. ESORICS, 2022. DOI: 10.1007/978-3-031-17140-6_34.
4. Kim T.-Yo., Lee H.-J. Vulnerability analysis of Bluetooth communication based on GNU radio. The Journal of the Korean Institute of Information and Communication Engineering. 2016. Vol. 20, Is. 11. P. 2014-2020. DOI: 10.6109/jkiice.2016.20.11.2014.
5. Jameel I., Dungen J. Low-power wireless advertising software library for distributed M2M and contextual IoT. 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT). Jan. 2015. P. 597-602. DOI: 10.1109/WF-IoT.2015.7389121.
6. Vanhoef M. A time-memory trade-off attack on WPA3's SAE-PK. ACM Asia Conference on Computer and Com-munications Security (ASIA CCS '22), May 2022. P. 27-37. DOI:10.1145/3494105.3526235
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Published
2022-12-18
How to Cite
TohoievО. (2022). A method for deanonymizing iOS users through the Airdrop protocol. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (49), 12-17. https://doi.org/10.36910/6775-2524-0560-2022-49-02
Section
Automation and Control
