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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Achieving Interpretable DL-based Web Attack Detection through Malicious Payload...

Peiyang Li (INSC and the State Key Laboratory of Internet Architecture, Tsinghua University and Ant Group), Fukun Mei (INSC and the State Key Laboratory of Internet Architecture, Tsinghua University), Ye Wang (INSC and the State Key Laboratory of Internet Architecture, Tsinghua University), Zhuotao Liu (INSC and the State Key Laboratory of Internet Architecture, Tsinghua University),…

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TENSURE: Fuzzing Sparse Tensor Compilers (Registered Report)

Kabilan Mahathevan (Department of Computer Science, Virginia Tech, Blacksburg), Yining Zhang (Department of Computer Science, Virginia Tech, Blacksburg), Muhammad Ali Gulzar (Department of Computer Science, Virginia Tech, Blacksburg), Kirshanthan Sundararajah (Department of Computer Science, Virginia Tech, Blacksburg)

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NinjaDoH: A Censorship-Resistant Moving Target DoH Server Using Hyperscalers...

Scott Seidenberger (University of Oklahoma), Marc Beret (University of Oklahoma), Raveen Wijewickrama (University of Texas at San Antonio), Murtuza Jadliwala (University of Texas at San Antonio), Anindya Maiti (University of Oklahoma)

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