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Using Strategy Objectives for Network Security Analysis

  • Elie Bursztein
  • John C. Mitchell
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6151)

Abstract

The anticipation game framework is an extension of attack graphs based on game theory. It is used to anticipate and analyze intruder and administrator concurrent interactions with the network. Like attack-graph-based model checking, the goal of an anticipation game is to prove that a safety property holds. However, expressing intruder goal as a safety property is tedious and error prone on large networks because it assumes that the analyst has prior and complete knowledge of critical network services and knows what the attacker targets will be.

In this paper we address this issue by introducing a new kind of goal called ”strategy objectives”. Strategy objectives mix logical constraints and numerical ones. In order to achieve these strategy objectives, we have extended the anticipation games framework with cost and reward. Additionally, this extension allows us to take into account the financial dimension of attacks during the analysis. We prove that finding the optimal strategy is decidable and only requires linear space. Finally we show that anticipation games with strategy objectives can be used in practice even on large networks by evaluating the performance of our prototype.

Keywords

Model Check Dependency Graph Security Goal Analysis Goal Attack Graph 
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 2010

Authors and Affiliations

  • Elie Bursztein
    • 1
  • John C. Mitchell
    • 2
  1. 1.Stanford University and LSV, ENS Cachan, INRIA, CNRSUSA
  2. 2.Stanford UniversityUSA

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