Risk-Averse Security.pdf

7862-13-11390-1-2-20201228.pdf
Preview of Risk-Averse Security
🔗 Source: cdn.aaai.org
📊 Size: 553 KB
👤 Author: Zhengyu Yin, Manish Jain, Milind Tambe, Fernando Ordonez
⬇️ Downloads: 157

Summary

Attacker-defender Stackelberg games are used for security, but existing solutions don't account for execution and observation uncertainties. This paper provides a framework to model these uncertainties and introduces RECON, an algorithm that computes risk-averse defender strategies, along with heuristics to improve its efficiency. RECON assumes nature chooses noise to maximally reduce defender's utility and maximizes against this worst case, outperforming existing algorithms in uncertain domains.

Description

Attacker-defender Stackelberg games are used for security, but existing solutions don't account for execution and observation uncertainties.

Technical Information

  • File Format: PDF
  • File Size: 553 KB
  • Pages: 6
  • Language: EN
  • Author: Zhengyu Yin, Manish Jain, Milind Tambe, Fernando Ordonez
  • Total Downloads: 157
  • Last Updated: 1 month ago

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