Assessing Information Security Risk Using Markov Chain
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 |
Publisher | IEEE |
Pages | 808-813 |
ISBN (Electronic) | 978-1-5386-6786-6 |
Publication status | Published - Dec 2018 |
Publication series
Name | IEEE International Conference on Industrial Engineering and Engineering Management |
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Volume | 2019-December |
ISSN (Print) | 2157-3611 |
ISSN (Electronic) | 2157-362X |
Conference
Title | 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 |
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Place | Thailand |
City | Bangkok |
Period | 16 - 19 December 2018 |
Link(s)
Abstract
[1] Information leakage occurs several times in universities in recent years. In this article, we propose a risk assessment method based on Markov chain for universities to evaluate risks using menace index. After identifying the assets and threats in universities, we use a survey data of university risks to find out the probability of the occurrence of each threat. Markov chain is used to indicate the probability of future. The result of a predicted severity sequence of risks can be useful to universities which risks they should pay more attention to. Two methods are used in the Markov part: One is the traditional way to set the initial probability matrix; the other is a statistical probability to present each menace in the initial probability matrix. After comparison, we found that the second method is more precise for risk assessment.
Research Area(s)
- Markov Chain, Menace Index, Security Risk Assessment
Citation Format(s)
Assessing Information Security Risk Using Markov Chain. / Tse, Daniel; Pan, Xiaoting; Zong, Yuan et al.
2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE, 2018. p. 808-813 8607422 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2019-December).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review