Security Game with Non-additive Utilities and Multiple Attacker Resources

Abstract

There has been significant interest in studying security games for modeling the interplay of attacks and defenses on various systems involving critical infrastructure, financial system security, political campaigns, and civil safeguarding. However, existing security game models typically either assume additive utility functions, or that the attacker can attack only one target. Such assumptions lead to tractable analysis, but miss key inherent dependencies that exist among different targets in current complex networks. In this paper, we generalize the classical security game models to allow for non-additive utility functions. We also allow attackers to be able to attack multiple targets. We examine such a general security game from a theoretical perspective and provide a unified view. In particular, we show that each security game is equivalent to a combinatorial optimization problem over a set system ε, which consists of defender's pure strategy space. The key technique we use is based on the transformation, projection of a polytope, and the ellipsoid method. This work settles several open questions in security game domain and extends the state-of-the-art of both the polynomial solvable and NP-hard class of the security game.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 05, 2017
Source ID
10.1145/3143314.3078519

Entities

People

  • Ness Shroff
  • Sinong Wang

Organizations

  • Army Research Office
  • Office of Naval Research
  • Ohio State University

Tags

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Cybersecurity.
  • Operations Research
  • Strategic Security Studies

Technology Areas

  • Space