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Modeling and Evaluating the Survivability of an Intrusion Tolerant Database System

  • Hai Wang
  • Peng Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4189)

Abstract

The immaturity of current intrusion detection techniques limits the traditional security systems in surviving malicious attacks. Intrusion tolerance approaches have emerged to overcome these limitations. Before intrusion tolerance is accepted as an approach to security, there must be quantitative methods to measure its survivability. However, there are very few attempts to do quantitative, model-based evaluation of the survivability of intrusion tolerant systems, especially in database field. In this paper, we focus on modeling the behaviors of an intrusion tolerant database system in the presence of attacks. Quantitative measures are proposed to characterize the capability of a resilient database system surviving intrusions. An Intrusion Tolerant DataBase system (ITDB) is studied as an example. Our experimental results validate the models we proposed. Survivability evaluation is also conducted to study the impact of attack intensity and various system deficiencies on the survivability.

Keywords

Detection Probability False Alarm Rate Intrusion Detection Intrusion Detection System Steady State Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hai Wang
    • 1
  • Peng Liu
    • 1
  1. 1.College of Information Sciences and TechnologyPennsylvania State UniversityUniversity ParkUSA

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