通信学报2024，Vol.45Issue(8)：62-74,13.DOI:10.11959/j.issn.1000-436x.2024105
基于提示问答数据增强的小样本网络安全事件检测方法
Few-shot cybersecurity event detection method by data augmentation with prompting question answering
摘要
Abstract
The cybersecurity field lacks sufficient annotated data for event recognition,and the scenarios and semantics are complex,making it difficult to construct accurate event recognition models.A few-shot cybersecurity event detection method by data augmentation with prompting question answering was proposed.Firstly,event representation knowledge was obtained using prompt information and combined with label words to map cybersecurity event types.New data was generated from unlabeled text to expand the training data.Then,the generated high-confidence pseudo-annotated in-stances and raw data were used to fine-tune the model to enhance its semantic understanding of cybersecurity events.Ex-perimental verification was conducted on two datasets in cybersecurity.The result showes that the proposed method's substantial superiority in low-resource network security event detection tasks compared to other baseline methods.关键词
网络安全/事件检测/提示问答/数据增强/小样本Key words
cybersecurity/event detection/prompting question answering/data augmentation/few-shot分类
信息技术与安全科学引用本文复制引用
汤萌萌,郭渊博,张晗,白庆春,陈庆礼,张博闻..基于提示问答数据增强的小样本网络安全事件检测方法[J].通信学报,2024,45(8):62-74,13.基金项目
国家自然科学基金资助项目(No.62276091,No.62307028) （No.62276091,No.62307028）
河南省重大公益专项基金资助项目(No.201300311200) （No.201300311200）
上海市自然科学基金资助项目(No.23ZR1441800) （No.23ZR1441800）
上海市启明星项目扬帆专项基金资助项目(No.23YF1426100) The National Natural Science Foundation of China(No.62276091,No.62307028),Major Public Welfare Proj-ect of Henan Province(No.201300311200),Shanghai Natural Science Foundation(No.23ZR1441800),Shanghai Sailing Program(No.23YF1426100) （No.23YF1426100）
