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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Data Analytics and Expert Judgment in Time of Crisis:...

Igor Linkov, PhD Senior Science and Technology Manager, US Army Engineer Research and Development Center; Senior Data Analyst (on detail), FEMA/HHS R1 COVID Task Force; Adjunct Professor, Carnegie Mellon University

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Censored Planet: An Internet-wide, Longitudinal Censorship Observatory

R. Sundara Raman, P. Shenoy, K. Kohls, and R. Ensafi (University of Michigan)

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Bitcontracts: Supporting Smart Contracts in Legacy Blockchains

Karl Wüst (ETH Zurich), Loris Diana (ETH Zurich), Kari Kostiainen (ETH Zurich), Ghassan Karame (NEC Labs), Sinisa Matetic (ETH Zurich), Srdjan Capkun (ETH Zurich)

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WIP: Infrastructure-Aided Defense for Autonomous Driving Systems: Opportunities and...

Yunpeng Luo (UC Irvine), Ningfei Wang (UC Irvine), Bo Yu (PerceptIn), Shaoshan Liu (PerceptIn) and Qi Alfred Chen (UC Irvine)

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