Apolline Zehner (Universite libre de Bruxelles), Iness Ben Guirat (Universite libre de Bruxelles), Jan Tobias Muhlberg (Universite libre de Bruxelles)

Wireless devices, especially Bluetooth and Wi-Fi devices, emit radio communication both to scan for neighboring devices and to advertise themselves. For example, a mobile phone would typically be searching for Wi-Fi access points and Bluetooth devices, e.g., headsets, and advertise itself for connections. For this purpose, communication interfaces use a Medium Access Control (MAC) address which is a unique identifier to differentiate one device from another. However, the use of such unique identifiers can violate the privacy of the device and hence of the user; an attacker is able to use such unique identifiers in order to passively track a device. MAC address randomization – techniques that periodically change the MAC addresses of a device – were developed as a privacy-enhancing measure against such attacks. However research shows that this can be easily circumvented. In this paper, we survey approaches and techniques for metadata anonymization in Bluetooth and Wi-Fi, as well as the de-anonymization attacks. Many of these attacks rely on physical characteristics of the communication medium and on implementation flaws of both wireless protocols and MAC address randomization protocols. We conclude by discussing open challenges both in metadata protection and deanonymization.

View More Papers

KernelSnitch: Side Channel-Attacks on Kernel Data Structures

Lukas Maar (Graz University of Technology), Jonas Juffinger (Graz University of Technology), Thomas Steinbauer (Graz University of Technology), Daniel Gruss (Graz University of Technology), Stefan Mangard (Graz University of Technology)

Read More

CounterSEVeillance: Performance-Counter Attacks on AMD SEV-SNP

Stefan Gast (Graz University of Technology), Hannes Weissteiner (Graz University of Technology), Robin Leander Schröder (Fraunhofer SIT, Darmstadt, Germany and Fraunhofer Austria, Vienna, Austria), Daniel Gruss (Graz University of Technology)

Read More

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion...

Lingzhi Wang (Northwestern University), Xiangmin Shen (Northwestern University), Weijian Li (Northwestern University), Zhenyuan LI (Zhejiang University), R. Sekar (Stony Brook University), Han Liu (Northwestern University), Yan Chen (Northwestern University)

Read More