An evaluation of network survivability under the effect of accumulated experience from sophisticated attackers

Pei Yu Chen, Frank Yeong Sung Lin

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

Abstract

This paper is focused on the resource allocation of network attack and defense with mathematical programming and to optimize the problem. It adopts a concept, discount coupon, to describe the attack behavior of taking advantage of accumulated experience from his previous attack actions of minimizing future attack cost. The attacker obtains free experience before he launch an attack or from a compromised node which could further reduce the cost of an attack. The attacker's objective is to minimize the total attack cost, while the core node is compromised and the network could not survive. Here, by transforming with node splitting into a generalized shortest path problem and applying the algorithm to optimally solve it.

Original languageEnglish (US)
Title of host publicationFuture Information Technology
PublisherSpringer Verlag
Pages681-687
Number of pages7
ISBN (Print)9783642550379
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event9th FTRA InternationalConference on Future Information Technology, FutureTech 2014 - Zhangjiajie, China
Duration: May 28 2014May 31 2014

Publication series

NameLecture Notes in Electrical Engineering
Volume309 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other9th FTRA InternationalConference on Future Information Technology, FutureTech 2014
CountryChina
CityZhangjiajie
Period5/28/145/31/14

Keywords

  • Accumulated Experience
  • Attack Behavior
  • Generalized Shortest Path Problem
  • Internet Security
  • Network Survivability
  • Node Splitting
  • Optimization
  • Resource Allocation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Chen, P. Y., & Lin, F. Y. S. (2014). An evaluation of network survivability under the effect of accumulated experience from sophisticated attackers. In Future Information Technology (pp. 681-687). (Lecture Notes in Electrical Engineering; Vol. 309 LNEE). Springer Verlag. https://doi.org/10.1007/978-3-642-55038-6_106