A Multi-Resolution Dynamic Game Framework for Cross-Echelon Decision-Making in Cyber Warfare
Ya-Ting Yang, Quanyan Zhu

TL;DR
This paper introduces a multi-resolution dynamic game framework for cyber warfare decision-making, enabling scalable reasoning across tactical and strategic levels to improve defense strategies in complex cyber environments.
Contribution
It presents a novel multi-resolution modeling approach combining high-resolution game trees and lower-resolution Markov games for cross-echelon cyber defense planning.
Findings
Framework effectively models multi-level cyber interactions
Zoom-in and zoom-out operations enable scalable analysis
Case study shows improved defender strategic advantage
Abstract
Cyber warfare has become a critical dimension of modern conflict, driven by society's increasing dependence on interconnected digital and physical infrastructure. Effective cyber defense often requires decision-making at different echelons, where the tactical layer focuses on detailed actions such as techniques, tactics, and procedures, while the strategic layer addresses long-term objectives and coordinated planning. Modeling these interactions at different echelons remains challenging due to the dynamic, large-scale, and interdependent nature of cyber environments. To address this, we propose a multi-resolution dynamic game framework in which the tactical layer captures fine-grained interactions using high-resolution extensive-form game trees, while the strategic layer is modeled as a Markov game defined over lower-resolution states abstracted from those game trees. This framework…
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