GPR-6126 Utilizing ML techniques for a Quantum Augmented HTTP Protocol

Over the past decade, several small-scale quantum key distribution (QKD) networks have been implemented worldwide. However, achieving scalable, large-scale quantum networks relies on advancements in quantum repeaters, channels, memories, and network protocols. To enhance the security of current networks while utilizing available quantum technologies, integrating classical networks with quantum elements appears to be the next logical step. In this study, we propose modifications to the HTTP protocol's data packet structure, adjustments to end-to-end encryption methods, and optimized bandwidth distribution between quantum and classical channels for high-traffic network routes.

Publication Details

Journal
DigitalCommons - Kennesaw State University (Kennesaw State University)
Published
2024-11-20
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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article

GPR-6126 Utilizing ML techniques for a Quantum Augmented HTTP Protocol

DigitalCommons - Kennesaw State University (Kennesaw State University)
Quantum Computing Algorithms and Architecture
article

GPR-6126 Utilizing ML techniques for a Quantum Augmented HTTP Protocol

article en

Abstract

Over the past decade, several small-scale quantum key distribution (QKD) networks have been implemented worldwide. However, achieving scalable, large-scale quantum networks relies on advancements in quantum repeaters, channels, memories, and network protocols. To enhance the security of current networks while utilizing available quantum technologies, integrating classical networks with quantum elements appears to be the next logical step. In this study, we propose modifications to the HTTP protocol's data packet structure, adjustments to end-to-end encryption methods, and optimized bandwidth distribution between quantum and classical channels for high-traffic network routes.

DigitalCommons - Kennesaw State University (Kennesaw State University)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Quantum Computing Algorithms and Architecture
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GPR-6126 Utilizing ML techniques for a Quantum Augmented HTTP Protocol · DigitalCommons - Kennesaw State University (Kennesaw State University) (2024) | TGRS Research Map | TGRS