Douglas Leith and Stephen Farrell (Trinity College Dublin)

We report on an independent assessment of the Android implementation of the Google/Apple Exposure Notification (GAEN) system. While many health authorities have committed to making the code for their contact tracing apps open source, these apps depend upon the GAEN API for their operation and this is not open source. Public documentation of the GAEN API is also limited. We find that the GAEN API uses a filtered Bluetooth LE signal strength measurement that can be potentially misleading with regard to the proximity between two handsets. We also find that the exposure duration values reported by the API are coarse grained and can somewhat overestimate the time that two handsets are in proximity. Updates to the GAEN API that can affect contact tracing performance, and so public health, are silently installed on user handsets. While facilitating rapid rollout of changes, the lack of transparency around this raises obvious concerns.

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From Library Portability to Para-rehosting: Natively Executing Microcontroller Software...

Wenqiang Li (State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences; Department of Computer Science, the University of Georgia, USA; School of Cyber Security, University of Chinese Academy of Sciences; Department of Electrical Engineering and Computer Science, the University of Kansas, USA), Le Guan (Department of Computer Science, the University…

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“Lose Your Phone, Lose Your Identity”: Exploring Users’ Perceptions...

Michael Lutaaya, Hala Assal, Khadija Baig, Sana Maqsood, Sonia Chiasson (Carleton University)

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Processing Dangerous Paths – On Security and Privacy of...

Jens Müller (Ruhr University Bochum), Dominik Noss (Ruhr University Bochum), Christian Mainka (Ruhr University Bochum), Vladislav Mladenov (Ruhr University Bochum), Jörg Schwenk (Ruhr University Bochum)

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