关键词: 网络安全, 信息抽取, 统一式信息抽取, 小样本, prompt 模板

Abstract: Threat intelligence in the Internet is growing day by day, and major network security platforms tend to use automated means to extract important information from it. However, many studies in the past separately modeled tasks such as entity recognition, relationship extraction and event extraction, which resulted in high cost of multi model management, large demand for data and poor knowledge sharing ability. To this end, this paper applies the unified extraction to the field of network security, and proposes an information extraction model in the field of network securityMRCUIE. In addtion, the article also designs the entity construction, prompt template design and model optimization in the field of network security. Finally, MRCUIE is tested on multiple network security data sets. The results show that MRCUIE has improved on 83% of the data sets, and its F1 value is 1%~3% better than the single extraction model, and 9%~14% better than the unified extraction model. Later, MRCUIE was tested on small samples, and it was found that the model only needed 10 samples to get good results, which verified the small sample capacity of MRCUIE.

Key words: network security, information extraction, unified information extraction, fewshot, prompt template