Cyber Incident Classifications Using Ontology-Based Knowledge Representation for Cybersecurity Insurance in Financial Industry

Sam Adam Elnagdy, Meikang Qiu*, Keke Gai

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

32 引用 (Scopus)

摘要

As a recent emerging industry, cybersecurity insurance has been growing ambitiously fast, which mainly serves the financial industry and assists financial firms to reduce cybersecurity risks. Understanding the risk classification is an important hemisphere for operating cybersecurity insurance. However, the classification representation will be complicated when the service system becomes large. Improper presentation of the risks can result in financial loss or operational mistakes. This paper addresses this concern and proposes an approach using ontology-based knowledge representation for cybersecurity insurance. The approach is named as Semantic Cyber Incident Classification (SCIC) model, which uses knowledge representation deriving from semantic techniques. Our approach is specifically designed for targeting at cybersecurity insurance domain, which has been assessed by our experiments.

源语言英语
主期刊名Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016
编辑Lixin Tao, Meikang Qiu, Jianwei Niu
出版商Institute of Electrical and Electronics Engineers Inc.
301-306
页数6
ISBN(电子版)9781509009459
DOI
出版状态已出版 - 16 8月 2016
已对外发布
活动3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016 - Beijing, 中国
期限: 25 6月 201627 6月 2016

出版系列

姓名Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016

会议

会议3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016
国家/地区中国
Beijing
时期25/06/1627/06/16

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