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IEEE/LEOS Summer Topical Meetings

Quantum Key Distribution Network and its Applications

Akio Tajima, Takashi Kondoh, Takao Ochi, Mikio Fujiwara, K. Yoshino, Hiromi Iizuka, Toshio Sakamoto, Akihisa Tomita, Shione Asami, Masahide Sasaki

Published Jul 1, 2018• 5 citations
Publisher

Abstract

We present the fundamental architecture and functions of quantum key distribution (QKD) network that support multiple applications. As applications on the QKD network, we introduce a quantum key distribution-advanced encryption standard (QKD-AES) hybrid system and an encrypted smartphone system.
DOI
10.1109/phosst.2018.8456708

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Abstract The fundamental architecture and functions of secure key management in a quantum key distribution (QKD) network with enhanced universal interfaces for smooth key sharing between arbitrary two nodes and enabling multiple secure communication applications are proposed. The proposed architecture consists of three layers: a quantum layer, key management layer and key supply layer. We explain the functions of each layer, the key formats in each layer and the key lifecycle for enabling a practical QKD network. A quantum key distribution-advanced encryption standard (QKD-AES) hybrid system and an encrypted smartphone system were developed as secure communication applications on our QKD network. The validity and usefulness of these systems were demonstrated on the Tokyo QKD Network testbed.
Quantum key distribution (QKD) constitutes a symmetric secret key negotiation protocol capable of maintaining information-theoretic security. Given the recent advances in QKD networks, they have evolved from academic research to some preliminary applications. A QKD network consists of two or more QKD nodes interconnected by optical fiber or free space links. The secret keys are negotiated between any pair of QKD nodes, and then they can be delivered to multiple users in various areas for ensuring long-term protection and forward secrecy. We commence by introducing the QKD basics, followed by reviewing the development of QKD networks and their implementation in practice. Subsequently, we describe the general QKD network architecture, its elements, as well as its interfaces and protocols. Next, we provide an in-depth overview of the associated physical layer and network layer solutions, followed by the standardization efforts as well as the application scenarios associated with QKD networks. Finally, we discuss the potential future research directions and provide design guidelines for QKD networks.
Quantum Key Distribution (QKD) networks have emerged the revolutionary technology in ensuring secure communication in the digital age. By utilizing the principles of quantum mechanics, QKD allows two parties to establish a secret key securely, which can subsequently be used for encrypting and decrypting sensitive information. While QKD holds immense promise for enhancing cybersecurity, it also presents several challenges that necessitate further research to achieve its full potential. The research presented here examines the development of QKD networks, their real-world use, as well as the general QKD network architecture and the most recent advancements in QKD network deployments.
We propose a secure and scalable file-encryption scheme for cloud systems by integrating Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), and Advanced Encryption Standard (AES) within a distributed architecture. While prior studies have primarily focused on secure key exchange or authentication protocols (e.g., layered PQC-QKD key distribution), our scheme extends beyond key management by implementing a distributed encryption architecture that protects large-scale files through integrated PQC, QKD, and AES. To support high-throughput encryption, our proposed scheme partitions the target file into fixed-size subsets and distributes them across slave nodes, each performing parallel AES encryption using a locally reconstructed key from a PQC ciphertext. Each slave node receives a PQC ciphertext that encapsulates the AES key, along with a PQC secret key masked using QKD based on the BB84 protocol, both of which are centrally generated and managed by the master node for secure coordination. In addition, an encryption and transmission pipeline is designed to overlap I/O, encryption, and communication, thereby reducing idle time and improving resource utilization. The master node performs centralized decryption by collecting encrypted subsets, recovering the AES key, and executing decryption in parallel. Our evaluation using a real-world medical dataset shows that the proposed scheme achieves up to 2.37× speedup in end-to-end runtime and up to 8.11× speedup in encryption time over AES (Original). In addition to performance gains, our proposed scheme maintains low communication cost, stable CPU utilization across distributed nodes, and negligible overhead from quantum key management.
Digital communication development creates an increasing threat to data security because emerging quantum computing technologies easily overcome traditional methods of encryption. A security system that integrates traditional encrypting with quantum computing methods shows promise for enhancing safety of networks mechanisms. The Hybrid Quantum Classical–Advanced Encryption System (HQC–AES) integrates the safe symmetrical functionality of the Advanced Encryption Standard (AES) with Quantum Key Distribution (QKD) procedures, specifically BB84 and E91, to ensure quantum resiliency. A secure key exchange together with real-time eavesdropper detection becomes possible through this combined approach, which maintains data confidentiality at a high level. A synthesis of post-quantum cryptography methods, such as Kyber and Falcon, safeguards traditional ways of communicating alongside quantum structures that lack comparability. The HQC–AES model provides solutions to three key cryptographic problems including secure key handling and distribution as well as encrypted transmission and long-term protection. Quantum mechanics enables protection enhancement for both conventional and quantum-based attacks by integrating it with advanced classical encryption methods. Theoretically, simulators and models show that the hybrid model maintains the technical agility of networks via several networked connections while simultaneously securing the reliability of data. The architecture delivers scalable security features to protect high-security cloud applications and financial systems and Internet of Things (IoT) resources by ensuring paramount secure communication capabilities. In safeguarding the transfer of data across several network circumstances, the suggested HQC–AES approach attained an overall accuracy of 98.7%. The fact that it is resistant to both conventional and quantum-based assaults and manages to keep data secure and intact is reflected in its excellent accuracy.