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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Location Spoofing Attacks on Autonomous Fleets

Jinghan Yang, Andew Estornell, Yevgeniy Vorobeychik (Washington University in St. Louis)

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Cryptographic Oracle-based Conditional Payments

Varun Madathil (North Carolina State University), Sri Aravinda Krishnan Thyagarajan (NTT Research), Dimitrios Vasilopoulos (IMDEA Software Institute), Lloyd Fournier (None), Giulio Malavolta (Max Planck Institute for Security and Privacy), Pedro Moreno-Sanchez (IMDEA Software Institute)

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Unlocking the Potential of Domain Aware Binary Analysis in...

Dr. Zhiqiang Lin (Distinguished Professor of Engineering at The Ohio State University)

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Reverse Engineering of Multiplexed CAN Frames (Long)

Alessio Buscemi, Thomas Engel (SnT, University of Luxembourg), Kang G. Shin (The University of Michigan)

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