Alexander Kedrowitsch (Virginia Tech), Jonathan Black (Virginia Tech) Daphne Yao (Virginia Tech)

Inter-satellite links will unlock true global access to high-speed internet delivered by Low Earth Orbit (LEO) mega-constellations. Functional packet routing within the constraints of the space environment, spacecraft design, and continual satellite mobility is uniquely challenging and requires novel routing algorithm approaches. Additionally, recent real-world events have highlighted adversarial attempts to deny and disrupt mega-constellation networking capabilities. In this paper, we advance highly resilient LEO mega-constellation dynamic routing algorithms by presenting our novel, ISL architecture-derived, network coordinate system. This coordinate system simplifies the network topology and permits increasingly impactful routing decisions with minimal computational overhead. From our topology, we demonstrate a proof-of-concept, lightweight routing algorithm that is highly resilient and scalable. To promote standardized resilience comparisons for LEO mega-constellation routing algorithms, we also propose a routing resilience testing framework that defines key performance metrics, adversarial capabilities, and testing scenarios. Using our proposed framework, we demonstrate our routing algorithm’s increased resilience over several state-of-the-art dynamic routing algorithms, with 12% packet delivery rate improvement during high adversarial disruption intensities.

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FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting

Meenatchi Sundaram Muthu Selva Annamalai (University College London), Igor Bilogrevic (Google), Emiliano De Cristofaro (University of California, Riverside)

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TALISMAN: Tamper Analysis for Reference Monitors

Frank Capobianco (The Pennsylvania State University), Quan Zhou (The Pennsylvania State University), Aditya Basu (The Pennsylvania State University), Trent Jaeger (The Pennsylvania State University, University of California, Riverside), Danfeng Zhang (The Pennsylvania State University, Duke University)

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WIP: Adversarial Object-Evasion Attack Detection in Autonomous Driving Contexts:...

Rao Li (The Pennsylvania State University), Shih-Chieh Dai (Pennsylvania State University), Aiping Xiong (Penn State University)

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Secret-Shared Shuffle with Malicious Security

Xiangfu Song (National University of Singapore), Dong Yin (Ant Group), Jianli Bai (The University of Auckland), Changyu Dong (Guangzhou University), Ee-Chien Chang (National University of Singapore)

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