Applying systems engineering in tactical wireless network analysis with Bayesian networks

Philip Chan, Mo Mansuri, Hong Man

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Systems engineering approaches are employed to measure and to analyze vulnerabilities of military tactical RF wireless networks. The goal is to develop smart and innovative performance matrixes through electronic warfare (EW) modeling and simulation scenarios. Systematic systems engineering approaches with radio frequency (RF) electronic warfare modeling and simulation scenarios are built to support research in vulnerability analysis. RF electronic warfare models are used to provide a practical yet simple process for assessing and investigate the vulnerability of tactical RF systems. The focus is on military or tactical wireless network within a system of systems (SoS) context research area. Wireless RF communication network vulnerabilities critically studied within Department of Defense (DoD) organizations to provide a comprehensive network vulnerability assessment approach. Researchers have proposed a variety of methods to build network trees with chains of exploits, and then perform normal post-graph vulnerability analysis. This paper presents an approach to use Bayesian network to model, calculate and analyze all potential vulnerability paths in wireless RF networks.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
Pages208-215
Number of pages8
DOIs
StatePublished - 2010
Event2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010 - Liverpool, United Kingdom
Duration: 28 Jul 201030 Jul 2010

Publication series

NameProceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010

Conference

Conference2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
Country/TerritoryUnited Kingdom
CityLiverpool
Period28/07/1030/07/10

Keywords

  • Bayesian networks
  • Systems engineering
  • Vulnerability assessment
  • Wireless network analysis

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