Author

Yu-Long Shen

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Preprint Sep 2026

Know the Normal, Track the Attack: Context-Grounded and Stateful LLM Investigation over System Provenance

Provenance-based intrusion detection systems (PIDSs) identify suspicious activity in audit streams, but their outputs remain difficult to turn into coherent attack narratives. Direct LLM analyses of local anomalous subgraphs lack deployment-specific normal-behavior knowledge and validated attack state across evidence f...

Li-Jie Zheng, Ji He, Ying Wang et al. · 0 citations

#machine learning Preprint Sep 2026

Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

Provenance-Based Intrusion Detection Systems (PIDSs) detect Advanced Persistent Threats (APTs) by analyzing system interactions. However, existing methods largely treat relations uniformly, overlooking statistical heterogeneity; in CADETS, relation frequencies differ by approximately $140{,}000\times$. This may cause P...

Li-Jie Zheng, Ji He, Alessandro Brighente et al. · 0 citations

2026

Joint Power and Location Design for Energy-Efficient Covert UAV Communications

—Unmanned aerial vehicles (UAVs) have been extensively deployed in wireless communication scenario. However, UAV communication faces the challenges of information leakage and energy limitation. Therefore, this paper studies energy-efficient covert communication in adversarial UAV-enabled wireless systems, where a UAV c...

Yang-Fan Xu, Bin Yang, Yulong Shen et al. · IEEE Transactions on Dependa... · 0 citations