Maximization of network robustness considering the effect of escalation and accumulated experience of intelligent attackers

Frank Yeong Sung Lin, Po Hao Tsang, Pei Yu Chen, Huan Ting Chen

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

2 Scopus citations

Abstract

In this paper, we propose a mathematical programming model to describe a network attack scenario. In this problem, the attacker's objective is to compromise multiple core nodes at minimum total attack cost. During the attack actions, the attacker may gain some experience from previous attacks to further reduce the attack costs in the future. Moreover, he can also pay extra fee to escalate his authority on a compromised node to get higher user privileges, so that he will have higher authority to access more information on the node. We measure the impact incurred by information leakage in our model, and adopt some Simulated Annealing-based algorithms to solve the problem.

Original languageEnglish (US)
Title of host publicationWMSCI 2009 - The 13th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 15th International Conference on Information Systems Analysis and Synthesis, ISAS 2009 - Proc.
Pages57-62
Number of pages6
StatePublished - Dec 1 2009
Externally publishedYes
Event13th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2009, Jointly with the 15th International Conference on Information Systems Analysis and Synthesis, ISAS 2009 - Orlando, FL, United States
Duration: Jul 10 2009Jul 13 2009

Publication series

NameWMSCI 2009 - The 13th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 15th International Conference on Information Systems Analysis and Synthesis, ISAS 2009 - Proc.
Volume4

Other

Other13th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2009, Jointly with the 15th International Conference on Information Systems Analysis and Synthesis, ISAS 2009
CountryUnited States
CityOrlando, FL
Period7/10/097/13/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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