Enhanced Quantum Key Distribution Using Non-Symmetric Quantum Channels and Super Dense Coding With Cascade Splitting Neural Networks
Enhanced Quantum Key Distribution Using Non-Symmetric Quantum Channels and Super Dense Coding With Cascade Splitting Neural Networks |
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| © 2025 by IJETT Journal | ||
| Volume-73 Issue-7 |
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| Year of Publication : 2025 | ||
| Author : Bosubabu Sambana, Kondapalli Venkata Ramana | ||
| DOI : 10.14445/22315381/IJETT-V73I7P143 | ||
How to Cite?
Bosubabu Sambana, Kondapalli Venkata Ramana, "Enhanced Quantum Key Distribution Using Non-Symmetric Quantum Channels and Super Dense Coding With Cascade Splitting Neural Networks," International Journal of Engineering Trends and Technology, vol. 73, no. 7, pp.562-582, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I7P143
Abstract
Quantum Key Distribution (QKD) systems using quantum mechanical ideas offer a secure approach for the cryptographic key exchange. In contrast, rational implementations of QKD are prone to critical defects compromising their security in practical applications in the industry. Still, some main challenges remain: the public channel exposure for the ciphertext transmission, the insecure key transfer to communication terminals, and the exposure of keys in the Quantum Distribution Channel (QCh). Side-channel exploits, intercept-resend attacks, and photon number splitting (PNS), all of which reduce the general security and efficiency of key exchange, are vulnerabilities of current symmetric QKD systems. To achieve real-time threat detection, this work presents an enhanced QKD protocol using a non-symmetric quantum channel in combination with superdense coding and a cascade splitting neural network. The non-symmetric quantum channel minimizes the sensitivity of symmetric key attacks using controlled asymmetry in the main distribution mechanism. Entanglement lets super dense coding encode two bits of information for every qubit, so increasing transmission efficiency. The research follows the quantum channel and communication terminals using a cascade splitting neural network. This system is meant to find abnormalities and probably listen in on attempts. The neural network is constructed by several layers of cascading neurons, which enables real-time risk detection and flexible response to security breaches. Numerical results obtained from simulated quantum communication networks show that the proposed protocol achieves a 27% increase in key-generating rate and a 35% decrease in transmission error rate when compared to conventional symmetric QKD protocols. Moreover, the enhanced protocol ensures a safe and consistent key exchange when quantum communication is applied by raising the 31% accuracy of eavesdropping detection. QKD has improved in terms of both security and economy by using a non-symmetric quantum channel, super dense coding, and intelligent threat detection.
Keywords
Quantum communications, Quantum Key Distribution, Non-symmetric quantum channel, Super dense coding, Cascade splitting neural network, Secure communication.
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