Natasa Trkulja, David Starobinski (Boston University), and Randall Berry (Northwestern University)

Cellular Vehicle-to-Everything (C-V2X) has been adopted by the FCC as the technology standard for safetyrelated transportation and vehicular communications in the US. C-V2X allows vehicles to self-manage the network in absence of a cellular base-station. Since C-V2X networks convey safety-critical messages, it is crucial to assess their security posture. This work contributes a novel set of Denial-of-Service (DoS) attacks on CV2X networks. The attacks are caused by adversarial resource block selection and vary in sophistication and efficiency. In particular, we consider “oblivious” adversaries that ignore recent transmission activity on resource blocks, “smart” adversaries that do monitor activity on each resource block, and “cooperative” adversaries that work together to ensure they attack different targets. We analyze and simulate these attacks to showcase their effectiveness. Assuming a fixed number of attackers, we show that at low vehicle density, smart and cooperative attacks can significantly impact network performance, while at high vehicle density, oblivious attacks are almost as effective as the more sophisticated attacks.

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PyPANDA: Taming the PANDAmonium of Whole System Dynamic Analysis

Luke Craig, Tim Leek (MIT Lincoln Laboratory), Andrew Fasano, Tiemoko Ballo (MIT Lincoln Laboratory, Northeastern University), Brendan Dolan-Gavitt (New York University), William Robertson (Northeastern University)

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(Short) Fooling Perception via Location: A Case of Region-of-Interest...

Kanglan Tang, Junjie Shen, and Qi Alfred Chen (UC Irvine)

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Demo #4: Attacking Tesla Model X’s Autopilot Using Compromised...

Ben Nassi (Ben-Gurion University of the Negev), Yisroel Mirsky (Ben-Gurion University of the Negev, Georgia Tech), Dudi Nassi, Raz Ben Netanel (Ben-Gurion University of the Negev), Oleg Drokin (Independent Researcher), and Yuval Elovici (Ben-Gurion University of the Negev) Best Demo Award Winner ($300 cash prize)!

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Work in Progress: Programmable In-Network Obfuscation of DNS Traffic

Liang Wang, Hyojoon Kim, Prateek Mittal, Jennifer Rexford (Princeton University)

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