In quantum networks, Quantum Key Distribution (QKD) and the related protocols are distributive to ensure security for end users. Also, attack detection, analyzing security vulnerabilities and performance reduction over high traffic are more challenging which is encountered at multi-user communication end. Existing approaches does not effectually overcome the above given challenges. This research proposed a novel approaches that merges conventional quantum multiple access approaches, QKD and improved security protocols for dealing these issues. Here, a novel Resource-Efficient Quantum Key Distribution (RE-QKD) for establishing communication security among diverse nodes and adopts the conventional quantum multiple accesses. It intends to offer higher speed and scalability during the communication process. Then, security is optimized with RE-QKD that relies on Quantum Access Network to optimize the queries from various end-users. The proposed RE-QKD is proposed to provide security towards the computing attacks and preventing the eavesdropping attack. The proposed model work efficiently and gives promising outcomes with its performance metrics. The proposed RE-QKD model attains 95% detection attack, 97% communication complexity, distributive key rate of 600b/s, 99% computational overhead and 97% communication efficiency. The simulation outcomes shows the reduction in communication complexity up-to 45% and improved detection accuracy which is superior compared to prevailing approaches. The proposed model helps in scalable development and quantum network with better security.
In quantum networks, Quantum Key Distribution (QKD) and the related protocols are distributive to ensure security for end users. Also, attack detection, analyzing security vulnerabilities and performance reduction over high traffic are more challenging which is encountered at multi-user communication end. Existing approaches does not effectually overcome the above given challenges. This research proposed a novel approaches that merges conventional quantum multiple access approaches, QKD and improved security protocols for dealing these issues. Here, a novel Resource-Efficient Quantum Key Distribution (RE-QKD) for establishing communication security among diverse nodes and adopts the conventional quantum multiple accesses. It intends to offer higher speed and scalability during the communication process. Then, security is optimized with RE-QKD that relies on Quantum Access Network to optimize the queries from various end-users. The proposed RE-QKD is proposed to provide security towards the computing attacks and preventing the eavesdropping attack. The proposed model work efficiently and gives promising outcomes with its performance metrics. The proposed RE-QKD model attains 95% detection attack, 97% communication complexity, distributive key rate of 600b/s, 99% computational overhead and 97% communication efficiency. The simulation outcomes shows the reduction in communication complexity up-to 45% and improved detection accuracy which is superior compared to prevailing approaches. The proposed model helps in scalable development and quantum network with better security.
Quantum Key Distribution (QKD) and encryption protocols are central to secure user-to-user communication in quantum networks. However, the detection of eavesdropping, security vulnerabilities, and performance degradation at high traffic levels are some of the challenges faced by inefficient multi-user communication. Current approaches do not adequately overcome these challenges. This paper suggests a holistic framework that integrates QKD, classical-quantum multiple access techniques, and advanced security protocols for overcoming these issues. This framework uses the QKD-SCM for communication security across several nodes and makes use of classical-quantum multiple accesses for greater speed and scalability in communication. Security is then further optimized with the MUQQ-ESTMP GHZ based on Multi-User Quantum Protocol, (MUQPQ), where it optimizes queries across several users. Lattice-based cryptography is deployed to protect against quantum computing attacks, and for detecting eavesdropper attacks, the Reverse Reconciliation Algorithm for binary-input additive white Gaussian noise channel (RRA-BIAWGNC) is used. Furthermore, QPQB has been integrated as a searchable symmetric encryption protocol to safeguard the data in cloud storage. The performance of the system has been analyzed with metrics like detection accuracy of eavesdrop attack (97%), communication complexity (95%), effective key rate (590 b/s), communication efficiency (96%), and computational overhead (98%). Simulation has been carried out using ns-3.30.1 and Python. Simulation results indicate a considerable reduction in communication complexity up to 40% and enhanced detection accuracy that surpassed the existing stateof- the-art benchmarks. Through the integration of multiple advanced techniques for security, this research contributes to the development of scalable and quantum communication networks with security.
This paper investigates the increasing concerns related to the vulnerability of contemporary security solutions in the face of quantum-based attacks, which pose significant challenges to existing cryptographic methods. Most current Quantum Key Distribution (QKD) protocols are designed with a focus on point-to-point communication, limiting their application in broader network environments where multiple users need to exchange information securely. To address this limitation, a thorough analysis of twin-field-based algorithms is conducted, emphasizing their distinct characteristics and evaluating their performance in practical scenarios in Sections II, III, and IV. By synthesizing insights from these analyses, integrating cutting-edge advancements in Quantum Communication technologies, and drawing on proven methodologies from established point-to-point protocols, this study introduces a novel concept for a Hybrid Twin-Field QKD protocol in Section IV. This network-oriented approach is designed to facilitate secure communication in networks involving multiple users, offering a practical and scalable solution. The proposed protocol aims to reduce resource consumption while maintaining high-security standards, thereby making it a viable option for real-world quantum communication networks. This work contributes to the development of more resilient and efficient quantum networks capable of withstanding future quantum-based threats.
Abstract Quantum Key Distribution (QKD) is a cornerstone of next-generation cryptographic technologies, offering unparalleled security by utilizing the principles of quantum mechanics. However, practical implementations of QKD face significant challenges, including inefficiencies in key generation, susceptibility to noise, and vulnerabilities to eavesdropping. This work addresses these challenges by proposing a machine learning (ML)-driven approach to optimize QKD protocols, focusing on enhancing both efficiency and security. In this work it is intended to evaluate three advanced protocols Adaptive, Entanglement-Based, and Hybrid under varying conditions such as key length, noise levels, and channel stability. The ML models will include ensemble learning models namely Random Forest and XGBoost, the models will analyze the impact of key parameters on protocol performance and predict efficiency with high accuracy. The results reveal that the Adaptive protocol significantly outperforms the Entanglement-Based and Hybrid protocols, achieving an efficiency of up to 0.80 for a key length of 2500 bits, compared to 0.24 for the Entanglement-Based protocol and 0.26 for the Hybrid protocol. The Adaptive protocol also demonstrates superior detection probability (ranging from 0.84 to 0.85) and a higher probability of detecting eavesdropping (ranging from 0.43 to 0.45). Furthermore, correlation analysis shows a strong positive relationship (r = 0.9985) between key length and efficiency for the Adaptive protocol, highlighting its scalability. In contrast, the Entanglement-Based protocol shows consistent but lower performance across all metrics, while the Hybrid protocol offers a compromise but remains less efficient than the Adaptive protocol. By integrating ML with quantum cryptography, this work bridges the gap between theoretical advancements and practical implementations, providing a scalable framework for optimizing QKD systems in real-world applications. The findings underscore the importance of protocol design and optimization in achieving secure and efficient quantum communication, paving the way for the quantum internet of the future.
Quantum computing is posing a serious risk to classical cryptographic tools such as RSA and ECC as sophisticated quantum algorithms are able to crack their mathematical foundation in a time bound that is a a polynomial in the number of repetitions. In this paper, we will describe the process of integrating Post-Quantum Cryptography (PQC) and Quantum Key Distribution (QKD) into a hybrid approach to secure communications in the post-quantum world. The suggested methodology is a combination of the computational efficiency and scalability of PQC and the information-theoretic security and eavesdropping detection abilities of QKD. Simulation observations indicate that PQC-only systems are both faster in generating keys and scalable, but do not have a strong eavesdropping detection. On the other hand, non-conditional security is only a feature of systems based on QKD, but it is also highly overhead and slows down key rate. The hybrid PQC-Q KD model provides a balanced performance, high resilience, high authentication, high confidentiality, and realistic deployability. On balance, this discussion demonstrates that the hybrid approach is better than standalone methods and can provide a strong solution to protect against new quantum threats. The large-scale network protocol can be optimized, resources and further integration with other emerging technologies, such as 5G/6G, IoT or cloud computing, can be directed in future research.
This research paper explores the integration of Quantum Key Distribution (QKD) networks with Telecommunication Networking technology to enhance the security of communication. QKD, leveraging the principles of quantum physics, offers secure key exchange between users, detecting any potential eavesdropping during communication. Traditionally limited to point-to-point connections, the paper addresses the need for a unified control plane for efficient resource allocation in QKD networks. It discusses the challenges of multi-resource allocation, secret-key management, and survivability, offering potential solutions. The paper details recent progress in QKD networks and presents three practical cases illustrating the benefits of combining QKD with SDN. The paper concludes by summarizing the findings and emphasizing the significance of QKD networks in developing secure multi-user communication scenarios in the evolving landscape of information networks.
As concerns about the robustness of current security solutions against quantum-based attacks continue to escalate, the limitations of existing Quantum Key Distribution (QKD) protocols, which are predominantly designed for point-to-point communication scenarios, become increasingly apparent. This paper addresses these limitations by conducting a comprehensive analysis of contemporary twin-field-based algorithms, examining their individual characteristics and overall performance metrics. By synthesizing insights from Twin-Field QKD protocols, cutting-edge advancements in Quantum Communication technologies, and well-established point-to-point solutions, a novel network-oriented concept for a Hybrid Twin-Field QKD protocol is proposed. This innovative approach aims to facilitate secure quantum communication among multiple users within a network, offering a practical and resource-efficient alternative to traditional point-to-point methods. The proposed Hybrid Twin-Field QKD protocol seeks to address the need for scalable and robust security solutions in the face of evolving quantum threats, thereby enhancing the effectiveness, applicability, and efficiency of quantum key distribution systems in multi-user network environments.