A probabilistic approach to estimate the damage propagation of cyber attacks

Young Gab Kim, Taek Lee, Hoh In, Yoon Jung Chung, InJung Kim, Doo Kwon Baik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

With rapid development in the Internet technology, business management in an organization becomes dependent on network dependency and cohesiveness in a critical information and communications infrastructure. However, the occurrence of cyber attacks has increased, targeted against vulnerable resources in information systems. Hence, in order to protect private information and computer resources, risk analysis and damage propagation need to be studied. However, the existing models present mechanisms for risk management, and these models can only be applied to specified threats such as a virus or a worm. Therefore, a probabilistic model for damage propagation based on Markov process is proposed, which can be applied to diverse threats in information systems. The proposed model enables us to predict the occurrence probability and occurrence frequency of each threat in the information systems.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages175-185
Number of pages11
Volume3935 LNCS
Publication statusPublished - 2006 Jul 17
Event8th International Conference on Information Security and Cryptology, ICISC 2005 - Seoul, Korea, Republic of
Duration: 2005 Dec 12005 Dec 2

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3935 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Information Security and Cryptology, ICISC 2005
CountryKorea, Republic of
CitySeoul
Period05/12/105/12/2

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Kim, Y. G., Lee, T., In, H., Chung, Y. J., Kim, I., & Baik, D. K. (2006). A probabilistic approach to estimate the damage propagation of cyber attacks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3935 LNCS, pp. 175-185). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3935 LNCS).