5 papers
A Reliable Fault Diagnosis Method Based on Belief Rule Base Consider Robustness Analysis
Mingyuan Liu, Dan Yin, Zongzong Wu
In equipment operation, the implementation of fault diagnosis is essential to ensure the continuity and safety of production equipment, improve operational efficiency and reduce ma…
PropLLM: Propagation-Aware Scene Reconstruction for Network Fault Diagnosis
Zongzong Wu, Ming Zhao, Fengxiao Tang +1
Network faults propagate layer by layer along topology and protocol dependencies, yet operations systems typically observe only symptomatic alerts at the tail end of propagation ch…
Chain or tree? Re-evaluating complex reasoning from the perspective of a matrix of thought
Fengxiao Tang, Yufeng Li, Zongzong Wu +1
Large Language Models (LLMs) face significant accuracy degradation due to insufficient reasoning ability when dealing with complex and abstract tasks. Thought structures such as Ch…
LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification
Fengxiao Tang, Huan Li, Ming Zhao +3
Verifying the credibility of Cyber Threat Intelligence (CTI) is essential for reliable cybersecurity defense. However, traditional approaches typically treat this task as a static…
KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment
Zongzong Wu, Fengxiao Tang, Ming Zhao +1
Cyber threat intelligence (CTI) is a crucial tool to prevent sophisticated, organized, and weaponized cyber attacks. However, few studies have focused on the credibility assessment…