Availability Analysis of a Scalable Intrusion Tolerant Architecture with Two Detection Modes

  • Authors:
  • Toshikazu Uemura;Tadashi Dohi;Naoto Kaio

  • Affiliations:
  • Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Hiroshima, Japan 739---8527;Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Hiroshima, Japan 739---8527;Department of Economic Informatics, Faculty of Economic Sciences, Hiroshima Shudo University, Hiroshima, Japan 739---3195

  • Venue:
  • CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
  • Year:
  • 2009

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Abstract

In this paper we consider a discrete-time availability model of an intrusion tolerant system with two detection modes; automatic detection mode and manual detection mode. The stochastic behavior of the system is formulated by a discrete-time semi-Markov process and analyzed through an embedded Markov chain (EMC) approach. We derive the optimal switching time from an automatic detection mode to a manual detection mode, which maximizes the steady-state system availability. Numerical examples are presented for illustrating the optimal switching of detection mode and its availability performance. availability, detection mode, EMC approach, Cloud computing environment.