# Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum
## 9 Conclusions
Advancements in QRNG technology could lead to even higher levels of randomness and system reliability. * Real-World Implementation: Implementing the QRNG-based FHSS system in actual drone networks to validate its performance in operational environments. This includes assessing scalability, energy efficiency, and the system's ability to handle real-world interference and environmental factors. * Integration with Advanced Security Measures: Combining the QRNG-based FHSS system with other cryptographic techniques, such as quantum key distribution, to further enhance communication security. This dual-layer security approach could provide unprecedented levels of protection against both physical and digital threats. * AI and Machine Learning Integration: Exploring the integration of AI and machine learning algorithms to dynamically optimize communication strategies. AI could be used to predict optimal frequency bands and adjust hopping patterns based on real-time environmental data, enhancing efficiency and robustness. In conclusion, the integration of QRNG technology into FHSS systems represents a significant advancement in securing drone communications. The experimental results substantiate the security and reliability claims of the proposed system, demonstrating its effectiveness in mitigating potential threats such as jamming and interception. By leveraging true randomness, the system achieves a higher level of unpredictability and resilience, essential for secure communications in critical applications. This work contributes to the growing field of quantum-enhanced wireless communications, offering substantial benefits for applications where enhanced security is paramount, such as military operations, disaster response, and secure commercial drone activities. The proposed methodology lays the groundwork for future developments in secure communication technologies, paving the way for more robust and reliable systems in increasingly complex and adversarial environments. Our findings confirm that QRNG-based FHSS systems have the potential to significantly improve the security and reliability of drone communications. As QRNG technology continues to mature, we anticipate further enhancements in system performance and broader applicability across various domains requiring secure wireless communication. Conceptualization, J.d.C. ; funding acquisition, C.T.C. ; investigation, J.d.C. and I.d.Z. ; methodology, J.d.C. and I.d.Z. ; software, J.d.C. ; writing--original draft, J.d.C. ; writing--review and editing, J.d.C., I.d.Z., J.-C.C. and C.T.C. All authors have read and agreed to the published version of the manuscript. The research received the funding from the BARCELONA Supercomputing Center (TIFON). Data Availability Statement: Data are contained within the article. During the preparation of this work, the author(s) used ChatGPT/Copilot/Gemi-ni/Claude for code completion and pseudocode generation, Grammarly for English language editing, and Mendeley for bibliography management. The author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of this publication. The authors would like to thank the BARCELONA Supercomputing Center for providing access to MareNostrum 5 and technical support throughout this research. Thanks to the QUANTIC group, [PERSON] and [PERSON], for discussions and instructional examples on the use of the QRNG device. **Conflicts of Interest:** The authors declare that they have no conflict of interest. The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.