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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OptRand: Optimistically Responsive Reconfigurable Distributed Randomness

Adithya Bhat (Purdue University), Nibesh Shrestha (Rochester Institute of Technology), Aniket Kate (Purdue University), Kartik Nayak (Duke University)

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QPEP in the Real World: A Testbed for Secure...

Julian Huwyler (ETH Zurich), James Pavur (University of Oxford), Giorgio Tresoldi and Martin Strohmeier (Cyber-Defence Campus) Presenter: Martin Strohmeier

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DiffCSP: Finding Browser Bugs in Content Security Policy Enforcement...

Seongil Wi (KAIST), Trung Tin Nguyen (CISPA Helmholtz Center for Information Security, Saarland University), Jihwan Kim (KAIST), Ben Stock (CISPA Helmholtz Center for Information Security), Sooel Son (KAIST)

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Death By A Thousand COTS: Disrupting Satellite Communications using...

Frederick Rawlins, Richard Baker and Ivan Martinovic (University of Oxford) Presenter: Frederick Rawlins

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