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.

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Decoupling Permission Management from Cryptography for Privacy-Preserving Systems

Ruben De Smet (Department of Engineering Technology (INDI), Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel), Tom Godden (Department of Engineering Technology (INDI), Vrije Universiteit Brussel), Kris Steenhaut (Department of Engineering Technology (INDI), Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel), An Braeken (Department of Engineering Technology (INDI), Vrije Universiteit Brussel)

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Reinforcement Unlearning

Dayong Ye (University of Technology Sydney), Tianqing Zhu (City University of Macau), Congcong Zhu (City University of Macau), Derui Wang (CSIRO’s Data61), Kun Gao (University of Technology Sydney), Zewei Shi (CSIRO’s Data61), Sheng Shen (Torrens University Australia), Wanlei Zhou (City University of Macau), Minhui Xue (CSIRO's Data61)

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Detecting Ransomware Despite I/O Overhead: A Practical Multi-Staged Approach

Christian van Sloun (RWTH Aachen University), Vincent Woeste (RWTH Aachen University), Konrad Wolsing (RWTH Aachen University & Fraunhofer FKIE), Jan Pennekamp (RWTH Aachen University), Klaus Wehrle (RWTH Aachen University)

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A Multifaceted Study on the Use of TLS and...

Ka Fun Tang (The Chinese University of Hong Kong), Che Wei Tu (The Chinese University of Hong Kong), Sui Ling Angela Mak (The Chinese University of Hong Kong), Sze Yiu Chau (The Chinese University of Hong Kong)

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