Research on efficient threat intelligence extraction and attack inference method based on large language models
Papers|更新时间:2025-12-25
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Research on efficient threat intelligence extraction and attack inference method based on large language models
Journal on CommunicationsVol. 46, Issue 11, Pages: 60-72(2025)
作者机构:
1.空天信息安全与可信计算教育部重点实验室,武汉大学国家网络安全学院,湖北 武汉 430072
2.贵州大学公共大数据国家重点实验室,贵州 贵阳 550025
3.贵州大学贵州省大数据产业发展应用研究院,贵州 贵阳 550025
作者简介:
基金信息:
The National Natural Science Foundation of China(62172308;62562012);The Major Scientific and Technological Special Project of Guizhou Province(黔科合重大专项字[2024]014);Guizhou Provincial Basic Research Program (Natural Science)(黔科合基础MS〔2025〕686);Guizhou Provincial Key Technology Research and Development Program(黔科合支撑PA[2025]004);The Research Project for Recruited Talents at Guizhou University(贵大人基合[2024]15号)
PENG Guojun,LI Jiachen,YANG Xiuzhang,et al.Research on efficient threat intelligence extraction and attack inference method based on large language models[J].Journal on Communications,2025,46(11):60-72.
PENG Guojun,LI Jiachen,YANG Xiuzhang,et al.Research on efficient threat intelligence extraction and attack inference method based on large language models[J].Journal on Communications,2025,46(11):60-72. DOI: 10.11959/j.issn.1000-436x.2025207.
Research on efficient threat intelligence extraction and attack inference method based on large language models