Resource allocation strategies to maximize network survivability considering of average DOD

Frank Yeong Sung Lin, Pei-yu Chen, Quen Ting Chen

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

2 Citations (Scopus)

Abstract

In this paper, an innovative metric called Average Degree of Disconnectivity (Average DOD) is proposed. The Average DOD combining the concept of the probability calculated by contest success function with the DOD metric would be used to evaluate the damage degree of network. The larger value of the Average DOD, the more damage degree of the network would be. An attack-defense scenario as a mathematical model would be used to support network operators to predict that all the likelihood strategies both cyber attacker and network defender would take. The attacker could use the attack resources to launch attack on the nodes of network. On the other hand, the network defender allocates existed resources of defender to protect survival nodes of network. In the process of problem solving, the "gradient method" and "game theory" would be adopted to find the optimal resource allocation strategies for both cyber attacker and network defender.

Original languageEnglish (US)
Title of host publicationAdvances in Intelligent and Soft Computing
Pages751-758
Number of pages8
Volume151 AISC
DOIs
StatePublished - 2012
Externally publishedYes
Event9th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2012 - Salamanca, Spain
Duration: Mar 28 2012Mar 30 2012

Publication series

NameAdvances in Intelligent and Soft Computing
Volume151 AISC
ISSN (Print)18675662

Other

Other9th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2012
CountrySpain
CitySalamanca
Period3/28/123/30/12

Fingerprint

Gradient methods
Game theory
Resource allocation
Mathematical operators
Mathematical models

Keywords

  • Average Degree of Disconnectivity
  • Average DOD
  • Contest Success Function
  • Game Theory
  • Gradient Method
  • Network Attack and Defense
  • Network Survivability
  • Optimization
  • Resource Allocation

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Lin, F. Y. S., Chen, P., & Chen, Q. T. (2012). Resource allocation strategies to maximize network survivability considering of average DOD. In Advances in Intelligent and Soft Computing (Vol. 151 AISC, pp. 751-758). (Advances in Intelligent and Soft Computing; Vol. 151 AISC). https://doi.org/10.1007/978-3-642-28765-7_90

Resource allocation strategies to maximize network survivability considering of average DOD. / Lin, Frank Yeong Sung; Chen, Pei-yu; Chen, Quen Ting.

Advances in Intelligent and Soft Computing. Vol. 151 AISC 2012. p. 751-758 (Advances in Intelligent and Soft Computing; Vol. 151 AISC).

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

Lin, FYS, Chen, P & Chen, QT 2012, Resource allocation strategies to maximize network survivability considering of average DOD. in Advances in Intelligent and Soft Computing. vol. 151 AISC, Advances in Intelligent and Soft Computing, vol. 151 AISC, pp. 751-758, 9th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2012, Salamanca, Spain, 3/28/12. https://doi.org/10.1007/978-3-642-28765-7_90
Lin FYS, Chen P, Chen QT. Resource allocation strategies to maximize network survivability considering of average DOD. In Advances in Intelligent and Soft Computing. Vol. 151 AISC. 2012. p. 751-758. (Advances in Intelligent and Soft Computing). https://doi.org/10.1007/978-3-642-28765-7_90
Lin, Frank Yeong Sung ; Chen, Pei-yu ; Chen, Quen Ting. / Resource allocation strategies to maximize network survivability considering of average DOD. Advances in Intelligent and Soft Computing. Vol. 151 AISC 2012. pp. 751-758 (Advances in Intelligent and Soft Computing).
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