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

Defending Against Membership Inference Attacks on Iteratively Pruned Deep...

Jing Shang (Beijing Jiaotong University), Jian Wang (Beijing Jiaotong University), Kailun Wang (Beijing Jiaotong University), Jiqiang Liu (Beijing Jiaotong University), Nan Jiang (Beijing University of Technology), Md Armanuzzaman (Northeastern University), Ziming Zhao (Northeastern University)

Read More

“I’m 73, you can’t expect me to have multiple...

Ashley Sheil (Munster Technological University), Jacob Camilleri (Munster Technological University), Michelle O Keeffe (Munster Technological University), Melanie Gruben (Munster Technological University), Moya Cronin (Munster Technological University) and Hazel Murray (Munster Technological University)

Read More

ReDAN: An Empirical Study on Remote DoS Attacks against...

Xuewei Feng (Tsinghua University), Yuxiang Yang (Tsinghua University), Qi Li (Tsinghua University), Xingxiang Zhan (Zhongguancun Lab), Kun Sun (George Mason University), Ziqiang Wang (Southeast University), Ao Wang (Southeast University), Ganqiu Du (China Software Testing Center), Ke Xu (Tsinghua University)

Read More