Design and Validation of Quantum Key Management System for Construction of KREONET Quantum Cryptography Communication

Author:

Shim Kyu-Seok,Kim Yong-hwan,Sohn Ilkwon,Lee Eunjoo,Bae Kwang-il,Lee Wonhyuk

Abstract

As it has been recently proven that the public key-based RSA algorithms that are currently used in encryption can be unlocked by Shor’s algorithm of quantum computers in a short time, conventional security systems are facing new threats, and accordingly, studies have been actively conducted on new security systems. They are classified into two typical methods: Post Quantum Cryptography (PQC) and Quantum Key Distribution (QKD). PQC aims to design conventional cryptography systems in a more robust way so that they will not be decrypted by a quantum computer in a short time whereas QKD aims to make data tapping and interception physically impossible by using quantum mechanical characteristics. In this paper, we design a quantum key management system, which is most crucial for constructing a QKD network and analyze the design requirements to apply them to Korea Research Environment Open NETwork (KREONET). The quantum key management system not only manages the lifecycle, such as storage, management, derivation, allocation, and deletion of the symmetric key generated in QKD but also enables many-to-many communication in QKD communication based on the key relay function and P2P communication to overcome the limitation of distance, which is a disadvantage of QKD. We have validated the designed quantum key management system through simulations to supplement the parts that were not considered during the initial design.

Publisher

River Publishers

Subject

Computer Networks and Communications,Information Systems,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Quantum Based Macorpgraphy System Implementations for Attacks in Data Maintenance;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14

2. Quantum Channel Optimization: Integrating Quantum-Inspired Machine Learning With Genetic Adaptive Strategies;IEEE Access;2024

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