DIM-Based Random Number Generation Using Quantum Noise Resources

Currently, unmanned aircraft systems (UASs) or drones are in service various industrial fields, and each UAS operator establishes operates their own independent drone system. These individual interact only with components without any integrated management. As the number of UASs is increasing due to expansion industry, standardized operation required. Therefore, integrate manage existing systems, Federal Aviation Administration National Aeronautics Space devised Traffic Management (UTM). The identity module (DIM), which being developed as a identification device, securely stores remote (RID) performs cryptographic secure information between UTM infrastructure. DIM authentication protocols achieve infrastructure, requires random numbers. Modern rely on difficult computations, an environment capable generating numbers must be configured provide high computational costs attackers. In this paper, we explain need for DIM, analyze generators used related drone-based studies, characteristics noise resource generation devices that can systems. Subsequently, based analysis results, methods generate limitations derived. To overcome these limitations, propose method using quantum resources. For our proposal, conduct physical specifications devices, prototypes, present results NIST 800-90B entropy measurement data collected from generators.