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

Sam Adam Elnagdy, Meikang Qiu*, Keke Gai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

32 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016
EditorsLixin Tao, Meikang Qiu, Jianwei Niu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages301-306
Number of pages6
ISBN (Electronic)9781509009459
DOIs
Publication statusPublished - 16 Aug 2016
Externally publishedYes
Event3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016 - Beijing, China
Duration: 25 Jun 201627 Jun 2016

Publication series

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

Conference

Conference3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016
Country/TerritoryChina
CityBeijing
Period25/06/1627/06/16

Keywords

  • Cyber incident classification
  • cybersecurity insurance
  • financial industry
  • knowledge representation
  • ontology

Fingerprint

Dive into the research topics of 'Cyber Incident Classifications Using Ontology-Based Knowledge Representation for Cybersecurity Insurance in Financial Industry'. Together they form a unique fingerprint.

Cite this