Advanced Cybersecurity Framework for LEO Aerospace: Integrating Quantum Cryptography, Artificial Intelligence Anomaly Detection, and Blockchain Technology


Bakyt M. Spada L.L. Zeeshan N. Moldamurat K. Atanov S. Konyrkhanova A. Yurkov N. Kuanysh A. Marat Y. Tilenbayev A.
2025Department of Agribusiness, Universitas Muhammadiyah Yogyakarta

Journal of Robotics and Control (JRC)
2025#6Issue 2695 - 714 pp.

This study aims to enhance the security of high-speed Low Earth Orbit (LEO) communication systems by developing an integrated, multi-layered security framework that addresses the limitations of current aerospace cybersecurity measures. The primary challenge lies in ensuring real-time data confidentiality, integrity, and authenticity in the face of sophisticated quantum and spoofing threats. To overcome these issues, the research contribution is the design and evaluation of a unified framework that combines quantum-resistant encryption using a FACT system with a Quantis USB quantum random number generator, an LSTM encoder-decoder model for real-time anomaly detection in ADS-B messages, and a blockchain-based mechanism for immutable data logging. The methodology involves benchmarking quantum-enhanced AES against traditional encryption schemes, training the LSTM network to detect subtle anomalies in flight data, and assessing blockchain scalability under high transaction loads. Results indicate significant improvements in encryption speed and detection accuracy—demonstrating up to a 30% increase in anomaly detection performance—while also revealing challenges such as increased computational overhead and scalability limitations in blockchain implementation. The framework shows promise for practical applications in satellite communications and air traffic management, though further research is needed to optimize resource consumption and enhance system resilience under extreme operational conditions.

Aerospace Security , Artificial Intelligence Anomaly Detection , Blockchain , Low Earth Orbit (LEO) , Quantum Encryption

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Department of Information Security, Faculty of Information Technology, L.N. Gumilyov Eurasian National University, Astana, 010000, Kazakhstan
School of Computing, Engineering and the Built Environment, Edinburgh Napier University, 10 Colinton Road, Edinburgh, EH10 5DT, United Kingdom
Department of Space Technique and Technology, Faculty of Physics and Engineering, L.N. Gumilyov Eurasian National University, Astana, 010000, Kazakhstan
Department of Computer Science, Faculty of Information Technology, L.N. Gumilyov Eurasian National University, Astana, 010000, Kazakhstan
Department of Design and Production of Radio Equipment, Penza State University, Penza, 440000, Russian Federation
LLP “Innovation Provider”, Astana, 010000, Kazakhstan
Directorate of Research of Armament and Military Equipment, National Defense University, Astana, 010000, Kazakhstan

Department of Information Security
School of Computing
Department of Space Technique and Technology
Department of Computer Science
Department of Design and Production of Radio Equipment
LLP “Innovation Provider”
Directorate of Research of Armament and Military Equipment

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