Eric Jedermann, Martin Böh (University of Kaiserslautern), Martin Strohmeier (armasuisse Science & Technology), Vincent Lenders (Cyber-Defence Campus, armasuisse Science & Technology), Jens Schmitt (University of Kaiserslautern)

Low Earth Orbit (LEO) satellites are becoming increasingly popular with private companies launching them to build vast networks that cover the globe. As these satellite systems expand, questions about their performance, security, and privacy are rising. To address these questions, researchers need to study these systems in real-world conditions. To support this kind of empirical research, we developed LeoCommon, an experimental network of ground stations. This network is designed to work with multiple satellite constellations such as Iridium, Globalstar, Starlink, and others. The LeoCommon system only uses opensource software and affordable hardware components that are easily accessible to academic researchers. We set up an initial network of ground stations in Central Europe, consisting of 10 stations. Using this setup, we have managed to collect over 500 synchronized recordings from the Iridium satellites, totaling more than 3,400 hours of data. This paper discusses the design of LeoCommon, our experiences in setting up the stations, and the initial results from testing the system with the Iridium network constellation.

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Siniel: Distributed Privacy-Preserving zkSNARK

Yunbo Yang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Yuejia Cheng (Shanghai DeCareer Consulting Co., Ltd), Kailun Wang (Beijing Jiaotong University), Xiaoguo Li (College of Computer Science, Chongqing University), Jianfei Sun (School of Computing and Information Systems, Singapore Management University), Jiachen Shen (Shanghai Key Laboratory of Trustworthy Computing, East China Normal…

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SNITCH: Leveraging IP Geolocation for Active VPN Detection

Tomer Schwartz (Data and Security Laboratory Fujitsu Research of Europe Ltd), Ofir Manor (Data and Security Laboratory Fujitsu Research of Europe Ltd), Andikan Otung (Data and Security Laboratory Fujitsu Research of Europe Ltd)

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Diffence: Fencing Membership Privacy With Diffusion Models

Yuefeng Peng (University of Massachusetts Amherst), Ali Naseh (University of Massachusetts Amherst), Amir Houmansadr (University of Massachusetts Amherst)

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