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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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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CrowdGuard: Federated Backdoor Detection in Federated Learning

Phillip Rieger (Technical University of Darmstadt), Torsten Krauß (University of Würzburg), Markus Miettinen (Technical University of Darmstadt), Alexandra Dmitrienko (University of Würzburg), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

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Exploring Phishing Threats through QR Codes in Naturalistic Settings

Filipo Sharevski (DePaul University), Mattia Mossano, Maxime Fabian Veit, Gunther Schiefer, Melanie Volkamer (Karlsruhe Institute of Technology)

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AutoWatch: Learning Driver Behavior with Graphs for Auto Theft...

Paul Agbaje, Abraham Mookhoek, Afia Anjum, Arkajyoti Mitra (University of Texas at Arlington), Mert D. Pesé (Clemson University), Habeeb Olufowobi (University of Texas at Arlington)

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