000145643 001__ 145643
000145643 005__ 20241114112316.0
000145643 0247_ $$2doi$$a10.3390/fi16110412
000145643 0248_ $$2sideral$$a140484
000145643 037__ $$aART-2024-140484
000145643 041__ $$aeng
000145643 100__ $$aCurtò y Díaz, J. de
000145643 245__ $$aEnhancing communication security in drones using QRNG in frequency hopping spread spectrum
000145643 260__ $$c2024
000145643 5060_ $$aAccess copy available to the general public$$fUnrestricted
000145643 5203_ $$aThis paper presents a novel approach to enhancing the security and reliability of drone communications through the integration of Quantum Random Number Generators (QRNG) in Frequency Hopping Spread Spectrum (FHSS) systems. We propose a multi-drone framework that leverages QRNG technology to generate truly random frequency hopping sequences, significantly improving resistance against jamming and interception attempts. Our method introduces a concurrent access protocol for multiple drones to share a QRNG device efficiently, incorporating robust error handling and a shared memory system for random number distribution. The implementation includes secure communication protocols, ensuring data integrity and confidentiality through encryption and Hash-based Message Authentication Code (HMAC) verification. We demonstrate the system’s effectiveness through comprehensive simulations and statistical analyses, including spectral density, frequency distribution, and autocorrelation studies of the generated frequency sequences. The results show a significant enhancement in the unpredictability and uniformity of frequency distributions compared to traditional pseudo-random number generator-based approaches. Specifically, the frequency distributions of the drones exhibited a relatively uniform spread across the available spectrum, with minimal discernible patterns in the frequency sequences, indicating high unpredictability. Autocorrelation analyses revealed a sharp peak at zero lag and linear decrease to zero values for other lags, confirming a general absence of periodicity or predictability in the sequences, which enhances resistance to predictive attacks. Spectral analysis confirmed a relatively flat power spectral density across frequencies, characteristic of truly random sequences, thereby minimizing vulnerabilities to spectral-based jamming. Statistical tests, including Chi-squared and Kolmogorov-Smirnov, further confirm the unpredictability of the frequency sequences generated by QRNG, supporting enhanced security measures against predictive attacks. While some short-term correlations were observed, suggesting areas for improvement in QRNG technology, the overall findings confirm the potential of QRNG-based FHSS systems in significantly improving the security and reliability of drone communications. This work contributes to the growing field of quantum-enhanced wireless communications, offering substantial advancements in security and reliability for drone operations. The proposed system has potential applications in military, emergency response, and secure commercial drone operations, where enhanced communication security is paramount.
000145643 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000145643 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000145643 700__ $$0(orcid)0000-0002-5844-7871$$aZarzà, I. de$$uUniversidad de Zaragoza
000145643 700__ $$aCano, Juan Carlos
000145643 700__ $$aCalafate, Carlos T.
000145643 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000145643 773__ $$g16, 11 (2024), 412 [33 p.]$$tFUTURE INTERNET$$x1999-5903
000145643 8564_ $$s1677694$$uhttps://zaguan.unizar.es/record/145643/files/texto_completo.pdf$$yVersión publicada
000145643 8564_ $$s2715992$$uhttps://zaguan.unizar.es/record/145643/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000145643 909CO $$ooai:zaguan.unizar.es:145643$$particulos$$pdriver
000145643 951__ $$a2024-11-14-10:18:33
000145643 980__ $$aARTICLE