Employing Quantum Key Distribution for Enhancing Network Security

DOI

10.2991/978-94-6463-300-9_53How to use a DOI?

Keywords

Quantum key distribution protocol; Network; Application

Abstract

The rapid advancement of quantum computing unveils significant potential in addressing various real-world challenges. Notably, the Quantum Key Distribution (QKD) protocol emerges as a promising solution for enhancing network communication security through its distinctive anti-eavesdropping mechanism. This research paper elucidates the necessity of QKD by illuminating the limitations associated with conventional network security encryption methods, including susceptibility to unstable connections, unauthorized access, eavesdropping, data tampering, and denial-of-service attacks. Furthermore, it explicates the fundamental principles of quantum physics underpinning QKD, comprising quantum superposition, quantum entanglement, and the no-cloning theorem. Several pivotal QKD protocols, specifically BB84, E91, and B92, are introduced within the body of this work. The exploration of Quantum Key Distribution applications in diverse domains, such as optical and wireless networks, the financial and medical sectors, and even satellite-based QKD, is extensive. This in-depth analysis uncovers the potential of QKD and its wide-ranging impact across various fields, while also providing insights into the challenges associated with QKD implementation.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Qifeng Liang
PY  - 2023
DA  - 2023/11/27
TI  - Employing Quantum Key Distribution for Enhancing Network Security
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 518
EP  - 526
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_53
DO  - 10.2991/978-94-6463-300-9_53
ID  - Liang2023
ER  -