A Homomorphic Encryption–Based Military MEDEVAC Prioritization Model: Order-Preserving Optimization under Privacy-Preserving Conditions

Key Points

• This research aims to develop a decision-making structure for military medical evacuation prioritization while ensuring privacy through homomorphic encryption.
• Designed a polynomial logit model incorporating homomorphic encryption constraints.
• Theoretical analysis of the stability of risk score ranking under encryption conditions.
• Simulation experiments to assess the effectiveness of HE-based risk scores compared to plaintext-based scores.
• HE-based risk scores maintained a high correlation with plaintext scores within the set noise range.
• Similar decision outcomes were achieved for MEDEVAC and ICU allocation using HE-based methods.
• Potential for ranking distortion was noted if operational depth exceeded limits or noise accumulated.