• DocumentCode
    180641
  • Title

    Modeling Human Behaviour with Higher Order Logic: Insider Threats

  • Author

    Boender, Jaap ; Ivanova, Marieta Georgieva ; Kammuller, Florian ; Primiero, Giuseppe

  • Author_Institution
    Middlesex Univ. London, London, UK
  • fYear
    2014
  • fDate
    18-18 July 2014
  • Firstpage
    31
  • Lastpage
    39
  • Abstract
    In this paper, we approach the problem of modeling the human component in technical systems with a view on the difference between the use of model and theory in sociology and computer science. One aim of this essay is to show that building of theories and models for sociology can be compared to and implemented in Higher Order Logic. We validate this working hypothesis by revisiting Weber´s understanding explanation. We focus on constructive realism in the context of logical explanation. We review Higher Order Logic (HOL) as a foundation for computer science and summarize its use of theories relating it to the sociological process of logical explanation. As a case study on modeling human behaviour, we present the modeling and analysis of insider threats as a Higher Order Logic theory in Isabelle/HOL. We show how each of the three step process of sociological explanation can be seen in our modeling of insider´s state, its context within an organisation and the effects on security as outcomes of a theorem proving analysis.
  • Keywords
    computer science; security of data; social sciences; theorem proving; HOL; Weber understanding explanation; computer science; higher order logic theory; insider threats; sociological process; technical systems; theorem proving analysis; Buildings; Cognition; Computational modeling; Computer science; Security; Sociology; Taxonomy; insider threat analysis; logical modeling and verification; social explanation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Socio-Technical Aspects in Security and Trust (STAST), 2014 Workshop on
  • Conference_Location
    Vienna
  • Type

    conf

  • DOI
    10.1109/STAST.2014.13
  • Filename
    6978927