Moustapha Awwalou Diouf (SnT, University of Luxembourg), Maimouna Tamah Diao (SnT, University of Luxembourg), El-hacen Diallo (SnT, University of Luxembourg), Samuel Ouya (Cheikh Hamidou KANE Digital University), Jacques Klein (SnT, University of Luxembourg), Tegawendé F. Bissyandé (SnT, University of Luxembourg)

Software-defined networking (SDN) is widely adopted in enterprise networks, data centers, and wide-area networks. These infrastructures are often federated into multiple administrative domains managed by distinct organizations. In this context, forensic analysis of cross-domain attacks remains a major challenge: fragmented causal visibility across domains and privacy constraints prevent effective tracing of threat propagation. Although prior work has focused on centralized provenance systems offering causal traceability, these approaches do not scale
in multi-domain contexts with heterogeneous policies. We propose G-Prove, a decentralized forensic framework for multi-domain SDN environments. G-Prove builds local provenance graphs and anchors cross-domain events via a cryptographically signed DAG, enabling causal analysis without exposing each domain’s internal data. Our results on a cross-domain attack scenario demonstrate the feasibility and effectiveness of G-Prove, and allow us to identify areas for improvement for more complex deployments.

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Bo Jiang (TikTok Inc.), Wanrong Zhang (TikTok Inc.), Donghang Lu (TikTok Inc.), Jian Du (TikTok Inc.), Qiang Yan (TikTok Inc.)

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Beyond Jailbreak: Unveiling Risks in LLM Applications Arising from...

Yunyi Zhang (Tsinghua University), Shibo Cui (Tsinghua University), Baojun Liu (Tsinghua University), Jingkai Yu (Tsinghua University), Min Zhang (National University of Defense Technology), Fan Shi (National University of Defense Technology), Han Zheng (TrustAl Pte. Ltd.)

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