M. Patrick Collins (USC Information Sciences Institute), Alefiya Hussain (USC Information Sciences Institute), J.P. Walters (USC Information Sciences Institute), Calvin Ardi (USC Information Sciences Institute), Chris Tran (USC Information Sciences Institute), Stephen Schwab (USC Information Sciences Institute)

Merge/Space (M/S) is a testbed designed to simulate multiple-agent security scenarios in satellite networks. By combining orbital data generated by a simulator such as STK with a synchronized set of images, M/S can accurately simulate bandwidth and connectivity constraints between ground stations and vehicles, enabling analyses of DoS attacks, scanning, malware infiltration and other analyses. We discuss the development of the testbed, the sample datasets included for release, and demonstrate the impact of various simulations.

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SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing

Lian Gao (University of California Riverside), Yu Qu (University of California Riverside), Sheng Yu (University of California, Riverside & Deepbits Technology Inc.), Yue Duan (Singapore Management University), Heng Yin (University of California, Riverside & Deepbits Technology Inc.)

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Facilitating Threat Modeling by Leveraging Large Language Models

Isra Elsharef, Zhen Zeng (University of Wisconsin-Milwaukee), Zhongshu Gu (IBM Research)

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Space Cybersecurity Testbed: Fidelity Framework, Example Implementation, and Characterization

Jose Luis Castanon Remy, Caleb Chang, Ekzhin Ear, Shouhuai Xu (University of Colorado Colorado Springs (UCCS))

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