Mridula Singh (CISPA - Helmholtz Center for Information Security), Marc Roeschlin (ETH Zurich), Aanjhan Ranganathan (Northeastern University), Srdjan Capkun (ETH Zurich)

A number of safety- and security-critical applications such as asset tracking, smart ecosystems, autonomous vehicles and driver assistance functions, etc., are expected to benefit from the position information available through 5G.
Driven by the aim to support such a wide-array of location-aware services and applications, the current release of 5G seeks to explore ranging and positioning [1] as an integral part of 5G technology. In recent years, many attacks on positioning and ranging systems have been demonstrated, and hence it is important to build 5G systems that are resilient to distance and location manipulation attacks. No existing proposal either by 3GPP or the research community addresses the challenges of secure position estimation in 5G.
In this paper, we develop V-Range, the first secure ranging system that is fully compatible with 5G standards and can be implemented directly on top of existing 5G-NR transceivers.
We design V-Range, a system capable of executing secure ranging operations resilient to both distance enlargement and reduction attacks.

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Bingyong Guo (Institute of Software, Chinese Academy of Sciences), Yuan Lu (Institute of Software Chinese Academy of Sciences), Zhenliang Lu (The University of Sydney), Qiang Tang (The University of Sydney), jing xu (Institute of Software, Chinese Academy of Sciences), Zhenfeng Zhang (Institute of Software, Chinese Academy of Sciences)

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Hybrid Trust Multi-party Computation with Trusted Execution Environment

Pengfei Wu (School of Computing, National University of Singapore), Jianting Ning (College of Computer and Cyber Security, Fujian Normal University; Institute of Information Engineering, Chinese Academy of Sciences), Jiamin Shen (School of Computing, National University of Singapore), Hongbing Wang (School of Computing, National University of Singapore), Ee-Chien Chang (School of Computing, National University of Singapore)

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Shisong Qin (Tsinghua University), Fan Hu (State Key Laboratory of Mathematical Engineering and Advanced Computing), Bodong Zhao (Tsinghua University), Tingting Yin (Tsinghua University), Chao Zhang (Tsinghua University)

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FedCRI: Federated Mobile Cyber-Risk Intelligence

Hossein Fereidooni (Technical University of Darmstadt), Alexandra Dmitrienko (University of Wuerzburg), Phillip Rieger (Technical University of Darmstadt), Markus Miettinen (Technical University of Darmstadt), Ahmad-Reza Sadeghi (Technical University of Darmstadt), Felix Madlener (KOBIL)

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