Secure Communication Based On Key Generation With Quantum Reinforcement Learning

Authors : Ercan ÇAĞLAR, İhsan YILMAZ

Pages : 22-41

Doi:10.55859/ijiss.1264169

View : 70 | Download : 25

Publication Date : 2023-06-28

Article Type : Research Paper

Abstract :Data security and secure communication is one of the most important issues of today. In this study, a quantum-based method for secure communication is proposed. In the proposed method, the necessary secret key in communication is generated locally by each participant through quantum gates. The quantum gates are taught by using quantum reinforcement learning insert ignore into journalissuearticles values(QRL);. Proposed study is simulated using the Qiskit library for Python. Proposed study performs the learning action with an accuracy of 87.95% for 195 gates, 85.47% for 128 gates, 83.59% for 64 gates, 76.25% for 32 gates. As the key size increases, the performance of the method increases. The participants don’t share the secret key in the presented method. Thus, the communication becomes more secure. In the study, the method is also examined in terms of security. Security analysis shows that the proposed method provide secure communication.
Keywords : quantum reinforcement learning, key generation, quantum key distribution, quantum cryptography

ORIGINAL ARTICLE URL