Zachary Depp, Halit Bugra Tulay, C. Emre Koksal (The Ohio State University)

The traditional vehicular roll-jam attack is an effective means to gain access to the target vehicle by jamming and recording key fob inputs from a victim. However, it requires specific knowledge of the attack surface, and delicate tuning of software-defined radio parameters. We have developed an enhanced version of the roll-jam attack that uses a known noise signal for jamming, in contrast to the additive white Gaussian noise that is typically used in the attack. Using a known noise signal allows for less strict tuning of the software-defined radios used in the attack, and allows for digital noise removal of the recorded input to enhance the replay attack.

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A Systematic Study of the Consistency of Two-Factor Authentication...

Sanam Ghorbani Lyastani (CISPA Helmholtz Center for Information Security, Saarland University), Michael Backes (CISPA Helmholtz Center for Information Security), Sven Bugiel (CISPA Helmholtz Center for Information Security)

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Firefly: Spoofing Earth Observation Satellite Data through Radio Overshadowing

Edd Salkield, Sebastian Köhler, Simon Birnbach, Richard Baker (University of Oxford). Martin Strohmeier (armasuisse S+T), Ivan Martinovic (University of Oxford) Presenter: Edd Salkield

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Accountable Javascript Code Delivery

Ilkan Esiyok (CISPA Helmholtz Center for Information Security), Pascal Berrang (University of Birmingham & Nimiq), Katriel Cohn-Gordon (Meta), Robert Künnemann (CISPA Helmholtz Center for Information Security)

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