Quantifying the influence of adversarial knowledge on the robustness of systems under attack
Key contributions: Quantifying the influence of adversarial knowledge on the robustness of systems under attack
- Background and motivation
- An informed attacker can select vulnerable components, while the defender may be uncertain about the attacker’s knowledge. Physical system properties alone therefore provide an incomplete description of robustness under attack.
- Methodology and novelty
- An entropy-based formulation combines the attacker’s choice of targets with the defender’s beliefs about the attacker’s knowledge. A value-of-information measure quantifies the resulting change in robustness, extending assessments based on a specified knowledge state.
- Impact, significance, and practical relevance
- In the illustrative brittle–ductile system, adversarial knowledge matters most for attacks of moderate size, where target selection can determine survival. Physical strengthening and limiting adversarial knowledge therefore address different aspects of the system’s vulnerability.
Code and data