# Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum
## 9 Conclusions  
In this paper, we presented a novel approach to enhancing the security and reliability of Frequency Hopping Spread Spectrum (FHSS) systems by integrating a Quantum Random Number Generator (QRNG) to generate truly random frequency hopping sequences. Our methodology was applied to a simulated multi-drone network with a ring topology, where each drone utilized true random sequences for frequency hopping, significantly improving resistance against jamming and interception attempts. The experimental results provided strong evidence supporting the security and reliability claims of our QRNG-based FHSS system. The statistical analyses, including spectral density, frequency distribution, and autocorrelation studies of the generated frequency sequences, demonstrated the high randomness and unpredictability achieved:  
* Uniform Frequency Distribution: The frequency distribution analyses showed a relatively uniform spread of frequencies across the available spectrum for all drones. Despite the presence of simulated jamming at 5500 Hz, the drones effectively minimized frequency usage in the jammed region, indicating successful adaptation and resilience. * Low Autocorrelation: The autocorrelation analyses revealed sharp peaks at zero lag and near-zero values for other lags, confirming the absence of significant periodicity or predictability in the sequences. This lack of correlation enhances resistance to predictive attacks and jamming. * Spectral Analysis: The spectral density plots exhibited a relatively flat power spectral density across frequencies, characteristic of truly random sequences. This uniform spectral distribution reduces vulnerabilities to spectral-based jamming and interception. * Resilience to Jamming: The system demonstrated effective avoidance of the jammed frequency region, maintaining high numbers of frequency hops in non-jammed regions. This adaptability highlights the system's robustness in maintaining communication integrity under interference. * Statistical Randomness Tests: The Chi-squared and Kolmogorov-Smirnov tests performed on the frequency sequences indicated high levels of randomness, with some deviations due to the simulated jamming. The test results confirm that the QRNG-generated sequences exhibit the necessary randomness properties for secure FHSS operation. The implementation of AES encryption and HMAC verification successfully protected the frequency sequences and synchronization data from interception and tampering. Throughout the experiments, no unauthorized access or data modification was detected, highlighting the effectiveness of the integrated security measures. While the results are promising, some short-term correlations were observed in the autocorrelation analyses, suggesting areas for improvement in QRNG technology. These correlations, though minimal, indicate that the QRNG devices are still maturing and that future enhancements could further improve the quality of the generated random numbers and the stability of the device. The experimentation also highlighted practical considerations for deploying such systems in real-world drone networks. The need for efficient distribution and synchronization of true random numbers in airborne drones was addressed through the concept of a virtual shared memory system facilitated by secure communication channels. This approach enables each drone to access high-quality random numbers without the need for physical shared memory, making the methodology practical for flying drones. Building on these findings, future research will focus on:  
* Optimizing Key Management and Synchronization: Enhancing the key management processes and exploring advanced synchronization techniques to improve system performance and security. This includes developing more efficient protocols for secure random number distribution and synchronization among drones. * Improving QRNG Technology: Testing upgraded versions of QRNG devices to address the observed short-term correlations and improve the quality and stability of the random number generation.