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
TAILOR broadens the coverage of automated CVE reproduction and provides auditable evidence for vulnerability diagnosis and defense and ablation experiments show that the two control levels respectively mitigate execution-path mismatch and missing Web prerequisite state.
Ji He, Huang Zhang, Li-Jie Zheng et al.· 0 citations
This paper presents a multi-agent DevSecOps framework that integrates static code scanning, large language model (LLM) based security reasoning, automated repair generation, policy-as-code enforcement, and runtime monitoring into a unified event-driven pipeline. Five specialized agents collaborate through LangGraph sha...
Hai-Ning Fan, Li-Jie Zheng, Chen-Hao Han et al.· Journal of networking and ne...· 0 citations
RECAL is presented, an unsupervised framework using relation-balanced masked graph learning to better capture rare interaction patterns and calibrates reconstruction errors against each relation's benign error distribution to produce comparable anomaly evidence, helping distinguish attacks from benign behavior and redu...
Li-Jie Zheng, Ji He, Zhi-Wei Zhang et al.· 0 citations
Integrated sensing and communications (ISAC) is moving from proof-of-concept demonstrations to system-level deployment in sixth-generation (6G) networks. Because sensing and communication share hardware, spectrum, and waveform resources, ISAC design now involves many tightly coupled choices, including waveform selectio...
Lijie Zheng, Xudong Zhong, Baoquan Ren et al.· 0 citations
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