A review on cyber security named entity recognition

查看全文 作　　者：Chen [1]GAO;Xuan [1,2,3]ZHANG;Mengting [1]HAN;Hui [1]LIU

机构地区：[1]School of Software,Yunnan University,Kunming 650091,China,School of Software,Yunnan University,Kunming 650091,China;[2]Key Laboratory of Software Engineering of Yunnan Province,Kunming 650091,China;[3]Engineering Research Center of Cyberspace,Kunming 650091,China

出　　处：《Frontiers of Information Technology & Electronic Engineering》索引2021年第22卷第9期,共16页

基　　金：the National Natural Science Foundation of China(Nos.61862063,61502413,and 61262025);the National Social Science Foundation of China(No.18BJL104);the Natural Science Foundation of Key Laboratory of Software Engineering of Yunnan Province,China(No.2020SE301);the Yunnan Science and Technology Major Project(Nos.202002AE090010 and 202002AD080002-5);the Data Driven Software Engineering Innovative Research Team Funding of Yunnan Province,China(No.2017HC012)。 摘　　要：With the rapid development of Internet technology and the advent of the era of big data,more and more cyber security texts are provided on the Internet.These texts include not only security concepts,incidents,tools,guidelines,and policies,but also risk management approaches,best practices,assurances,technologies,and more.Through the integration of large-scale,heterogeneous,unstructured cyber security information,the identification and classification of cyber security entities can help handle cyber security issues.Due to the complexity and diversity of texts in the cyber security domain,it is difficult to identify security entities in the cyber security domain using the traditional named entity recognition(NER)methods.This paper describes various approaches and techniques for NER in this domain,including the rule-based approach,dictionary-based approach,and machine learning based approach,and discusses the problems faced by NER research in this domain,such as conjunction and disjunction,non-standardized naming convention,abbreviation,and massive nesting.Three future directions of NER in cyber security are proposed:(1)application of unsupervised or semi-supervised technology;(2)development of a more comprehensive cyber security ontology;(3)development of a more comprehensive deep learning model. 关键词：Named entity recognition(NER) Information extraction Cyber security Machine learning Deep learning

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A review on cyber security named entity recognition

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引证文献(9)

耦合文献(49)

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