Eric Khoo Jiun Hooi, A. Zainal, M. A. Maarof, Mohamad Nizam Kassim
{"title":"TAGraph: Knowledge Graph of Threat Actor","authors":"Eric Khoo Jiun Hooi, A. Zainal, M. A. Maarof, Mohamad Nizam Kassim","doi":"10.1109/ICoCSec47621.2019.8970979","DOIUrl":null,"url":null,"abstract":"Understanding of cybersecurity threat landscape especially information about threat actor is a challenging task as these information are usually hidden and scattered. The online news had became one of the popular and important source of information for cybersecurity personnels to understand about the activities conducted by these threat actors. In this paper, we propose a framework to create knowledge graph of threat actor by building ontology of threat actor and named entity recognition system to extract cybersecurity-related entities. The resulting ontology and model can be used to automatically extract cybesecurity-related entities from an article and create knowledge graph of threatactor.","PeriodicalId":272402,"journal":{"name":"2019 International Conference on Cybersecurity (ICoCSec)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Cybersecurity (ICoCSec)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICoCSec47621.2019.8970979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Understanding of cybersecurity threat landscape especially information about threat actor is a challenging task as these information are usually hidden and scattered. The online news had became one of the popular and important source of information for cybersecurity personnels to understand about the activities conducted by these threat actors. In this paper, we propose a framework to create knowledge graph of threat actor by building ontology of threat actor and named entity recognition system to extract cybersecurity-related entities. The resulting ontology and model can be used to automatically extract cybesecurity-related entities from an article and create knowledge graph of threatactor.