Ioana Boureanu, Stephan Wesemeyer (Surrey Centre for Cyber Security, University of Surrey)

Global Navigation Satellite Systems (GNSS) are critical for infrastructure like energy, telecommunications, and transportation, making their accuracy vital. To enhance security especially against location spoofing, in 2024, the Galileo GNSS system adopted the Timed Efficient Stream Loss-Tolerant Authentication (TESLA) protocol, for Navigation Message Authentication (NMA). However, past and present TESLA versions have lacked formal verification due to challenges in modelling their streaming and timing mechanisms. Given the importance of formal verification in uncovering protocol flaws, this work addresses that gap by formally modelling and verifying the latest TESLA protocol used in Galileo; we verify Galileo’s TESLA protocol in the well-known Tamarin prover. We discuss our findings and, since this is work-in-progress, we contextualise them in terms of next steps for us, as well as for future Navigation Message Authentication protocols inside GNSS systems.

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Tobias Lüscher (ETH Zurich), Martin Strohmeier (Cyber-Defence Campus, armasuisse S+T), Vincent Lenders (Cyber-Defence Campus, armasuisse S+T)

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Onion Franking: Abuse Reports for Mix-Based Private Messaging

Matthew Gregoire (University of North Carolina at Chapel Hill), Margaret Pierce (University of North Carolina at Chapel Hill), Saba Eskandarian (University of North Carolina at Chapel Hill)

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KernelSnitch: Side Channel-Attacks on Kernel Data Structures

Lukas Maar (Graz University of Technology), Jonas Juffinger (Graz University of Technology), Thomas Steinbauer (Graz University of Technology), Daniel Gruss (Graz University of Technology), Stefan Mangard (Graz University of Technology)

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Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon

Xuanji Meng (Tsinghua University), Xiao Sui (Shandong University), Zhaoxin Yang (Tsinghua University), Kang Rong (Blockchain Platform Division,Ant Group), Wenbo Xu (Blockchain Platform Division,Ant Group), Shenglong Chen (Blockchain Platform Division,Ant Group), Ying Yan (Blockchain Platform Division,Ant Group), Sisi Duan (Tsinghua University)

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