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Fuzzy Based Threat Analysis in Total Hospital Information System

  • Nurzaini Mohamad Zain
  • Ganthan Narayana Samy
  • Rabiah Ahmad
  • Zuraini Ismail
  • Azizah Abdul Manaf
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6059)

Abstract

This research attempts to develop fuzzy based threat analysis model in which; linguistic variable, fuzzy number and fuzzy weighted average are applied to deal with the uncertainty problem in potential threats evaluation in Total Hospital Information System (THIS) environment. In fuzzification process, Triangular Average Number technique using two sets of membership functions was applied to evaluate “likelihood” and “consequence” of THIS threat variables upon a particular THIS asset. Then, each security threat level was aggregated using Efficient Fuzzy Weighted Average (EFWA) algorithm. Finally, Best Fit Technique is used in defuzzification process to translate a single fuzzy value to linguistic terms that indicates the overall security threat level impact on THIS asset. To confirm the effectiveness of this adopted model, prototype is developed and verified using scenario method. Finding shown that this model, is capable to perform threat analysis with incomplete information and uncertain in THIS environment.

Keywords

Total Hospital Information System (THIS) Risk Analysis Threats Information Security Fuzzy logic 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Nurzaini Mohamad Zain
    • 1
  • Ganthan Narayana Samy
    • 2
  • Rabiah Ahmad
    • 1
  • Zuraini Ismail
    • 3
  • Azizah Abdul Manaf
    • 3
  1. 1.Centre for Advanced Software Engineering (CASE), Faculty of Computer Science and Information SystemsUniversiti Teknologi Malaysia (UTM)Malaysia
  2. 2.Department of Computer Systems and Communications, Faculty of Computer Science & Information SystemsUniversiti Teknologi Malaysia (UTM)Malaysia
  3. 3.Department of Science, College of Science and TechologyUniversiti Teknologi Malaysia (UTM)Malaysia

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