Complex Network of Damage Assessment Using GMM Based FAIR

Mookyu Park, Minhee Joo, Junwoo Seo, Kyoungmin Kim, Moosung Park, Kyung Ho Lee

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

Abstract

With the recent increase in IoT devices, network connectivity devices such as routers or switches are increasing. This increase in equipment could increase the degree of a particular node (hub node or hub router) in terms of network characteristics. In other words, the structure of the network can be changed into a more complicated network form. The convergence of links to these specific nodes provides an opportunity for attackers to enjoy maximum benefit at minimal cost. An attacker can attack only a few hub routers with a high degree of network structure, which can paralyze networks in some areas. This possibility is because the actual network follows the power degree distribution. These research measures threats based on network characteristics and data on exploits of network equipment. The threat measurement is applied to the FAIR(Factor Analysis of Information Risk) model, and the damage caused by the macro network structure is assessed.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages627-630
Number of pages4
ISBN (Electronic)9781538636497
DOIs
Publication statusPublished - 2018 May 25
Event2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018 - Shanghai, China
Duration: 2018 Jan 152018 Jan 18

Other

Other2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
CountryChina
CityShanghai
Period18/1/1518/1/18

Fingerprint

Complex networks
Factor analysis
Routers
Macros
Switches
Damage assessment
Information risk
Costs
Node
Hub

Keywords

  • Complex Network
  • Damage Assessment
  • FAIR
  • Gaussian Mixture Model(GMM)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

Cite this

Park, M., Joo, M., Seo, J., Kim, K., Park, M., & Lee, K. H. (2018). Complex Network of Damage Assessment Using GMM Based FAIR. In Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018 (pp. 627-630). [8367191] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigComp.2018.00111

Complex Network of Damage Assessment Using GMM Based FAIR. / Park, Mookyu; Joo, Minhee; Seo, Junwoo; Kim, Kyoungmin; Park, Moosung; Lee, Kyung Ho.

Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 627-630 8367191.

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

Park, M, Joo, M, Seo, J, Kim, K, Park, M & Lee, KH 2018, Complex Network of Damage Assessment Using GMM Based FAIR. in Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018., 8367191, Institute of Electrical and Electronics Engineers Inc., pp. 627-630, 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, Shanghai, China, 18/1/15. https://doi.org/10.1109/BigComp.2018.00111
Park M, Joo M, Seo J, Kim K, Park M, Lee KH. Complex Network of Damage Assessment Using GMM Based FAIR. In Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 627-630. 8367191 https://doi.org/10.1109/BigComp.2018.00111
Park, Mookyu ; Joo, Minhee ; Seo, Junwoo ; Kim, Kyoungmin ; Park, Moosung ; Lee, Kyung Ho. / Complex Network of Damage Assessment Using GMM Based FAIR. Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 627-630
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