Abstract
The increasing complexity of cyber-physical systems, particularly in critical infrastructure like open-pit mining operations, demands robust and adaptive information security. This article presents the design and justification of an entropy-aware adaptive key generation system that enhances cryptographic security through real-time entropy monitoring and control. Drawing from risk modeling techniques, the study applies a Kalman filter to predict entropy state transitions and dynamically adapt key lifecycle strategies. This approach ensures high resistance to entropy degradation, key predictability, and environmental noise. The system’s performance is validated through comparative simulations, demonstrating improved accuracy in entropy estimation and key management. The proposed methodology aligns with international standards such as NIST SP 800-90A/B and ISO/IEC 27002, making it suitable for deployment in high-assurance, resource-constrained environments.