• DocumentCode
    2315264
  • Title

    On the mitigation of bioterrorism through game theory

  • Author

    Layfield, Ryan ; Kantarcioglu, Murat ; Thuraisingham, Bhavani

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX
  • fYear
    2009
  • fDate
    8-11 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Bioterrorism represents a serious threat to the security of civilian populations. The nature of an epidemic requires careful consideration of all possible vectors over which an infection can spread. Our work takes the SIR model and creates a detailed hybridization of existing simulations to allow a large search space to be explored. We then create a Stackelberg game to evaluate all possibilities with respect to the investment of available resources and consider the resulting scenarios. Our analysis of our experimental results yields the opportunity to place an upper bound on the worst case scenario for a population center in the event of an attack, with consideration of defensive and offensive measures.
  • Keywords
    biohazards; diseases; game theory; SIR model; Stackelberg game; bioterrorism mitigation; civilian population security; diseases; epidemiology; game theory; large search space; susceptible-infected-refractory model; Bioterrorism; Computer science; Computer security; Diseases; Game theory; Humans; Investments; Space exploration; Terrorism; Upper bound; SIR model; bioterrorism; epidemiology; game theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    978-1-4244-4171-6
  • Electronic_ISBN
    978-1-4244-4173-0
  • Type

    conf

  • DOI
    10.1109/ISI.2009.5137262
  • Filename
    5137262