Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Lecture notes in networks and systems

Enhancing the Security of Software Defined Networks via Quantum Key Distribution and Post-Quantum Cryptography

Carlos Rubio García, Simon Rommel, Juan José Vegas Olmos, Idelfonso Tafur Monroy

Published Jan 1, 2023• 12 citations
Publisher
DOI
10.1007/978-3-031-38318-2_42

Related papers

Integrating Quantum Key Distribution to Enhance Software-Defined Networking Security

Raied Ibrahim, Ibrahim Khider, Salaheldin Mohamed Ibrahim Edam

•Jan 1, 2026•0 citations

Integrating Quantum Key Distribution to Enhance Software-Defined Networking Security

Raied Ibrahim, Ibrahim Khider Eltahir, Salaheldin Mohamed Ibrahim Edam

•Jan 1, 2026•0 citations

Software Defined Networking (SDN)-Enabled Machine Learning Approach for Resource Allocation in Quantum Key Distribution Networks

Chetana Patil, Lincy Mathews

Quantum cryptography is one of the emerging nascent fields in the area of quantum computing. It has found its places in various diversified applications across the domains. Ensuring long term information security in the post-quantum era requires the redesigning of conventional algorithms, which are quantum resistant. In the post quantum era, the field of quantum cryptography promises trusted communications, but practical implementation of the networks suffers serious challenges from adaptive conditions like noise and failures of the network links. Revaluation of new quantum resistant security algorithms need to be considered. This paper presents a hybrid system that combines Machine Learning (ML), Quantum Key Distribution (QKD) along with software-defined networking (SDN) for real-time allocation of resources in quantum networks. This approach uses the random forest classifier to predict a different robust network path based on the key rate and quantum bit error rate parameters. As network conditions change, the SDN controller makes it possible to choose a dynamic link. The simulations methods show that the system can adapt to increased noise and compromised links and attain key rates of up to 12.5 Mbps with a QBER rate as low as 0.01. In comparison to manual resource allocation in quantum networks, simulation findings demonstrate greater adaptability and security. Software-defined networking (SDN), quantum bit error rate (QBER), quantum key distribution (QKD), post-quantum cryptography (PQC), machine learning, and resource allocation are the index terms. Results show higher adaptability and security with respect to manual allocation of resources in quantum networks.

International Conference on Next-Gen Quantum and Advanced Computing: Algorithms, Security, and Beyond (NQComp)•Mar 5, 2026•0 citations

Post-Quantum Secure Software-Defined Networking for Cloud and Edge Computing

Mr.Ashish Sharma, Upendra Singh

Conventional cryptographic algorithms that are widely used in Software-Defined Networking (SDN), cloud computing, and edge computing infrastructures are facing a serious challenge because of the fast development of quantum computing. The traditional public-key cryptography like RSA and Elliptic Curve Cryptography (ECC) is believed to be vulnerable to quantum attacks, which will require quantum-resistant security mechanisms to be adopted. The past few years have seen a focus on incorporating Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), Artificial Intelligence (AI), blockchain, and Zero Trust Architecture (ZTA) into SDN, with the aim of creating secure, programmable, and intelligent communication infrastructures. The paper summarizes the recent progress in post-quantum secure SDN in cloud and edge computing. The study starts by examining how lattice-based cryptographic algorithms like CRYSTALS-Kyber and CRYSTALS-Dilithium can be integrated in SDN controllers and SDN programmable networks. Then, hybrid QKD-PQC architectures for quantum-safe communication are discussed, followed by intelligent SDN architectures based on AI-powered threat detection, blockchain-based trust management, and adaptive cryptographic orchestration. Moreover, the paper reviews recent advances, summarizes research challenges, and points towards scalable, autonomous, and quantum-resistant networking infrastructures for next-generation cloud, IoT, edge and 6G networks and ecosystem

International Journal for Research in Applied Science and Engineering Technology•Jul 9, 2026•0 citations

Scalable Quantum Key Distribution on Software Defined Networks

Alasdair B. Price, Alejandro Aguado, E. Hugues-Salas +9 more

•Apr 5, 2017•0 citations

Crypto-Agile Zero-Trust Access for Multi-Cloud via SDN, with PQC-QKD Key Orchestration

Venkatesh H, Sashikanth Reddy Avula

Cloud infrastructures moving toward post-quantum cryptography present both opportunities and risks since safe workload interoperability is made more difficult by disparate providers' uneven key management. In this study, a crypto-agile zero-trust access architecture for multi-cloud environments is presented, utilizing software-defined networking (SDN) to coordinate quantum key distribution (QKD) and post-quantum cryptography (PQC) for session security. The architecture incorporates a policy-driven controller that uses programmable data planes for micro-segmentation and continuous verification to dynamically choose ML-KEM or QKD-derived keys for each transaction. The system includes automated failover between PQC and QKD to guarantee resilience, preserving secure connectivity in the event of link failure or resource exhaustion. QKD-PQC failover under adversarial stress, flow-level path enforcement via P4, and TLS 1.3 handshakes with PQC are all demonstrated using a simulation prototype. The results demonstrate that SDN-based orchestration can maintain performance and uphold zero-trust principles, while also highlighting the viability of quantifying PQC overhead in real-time cloud scenarios. This establishes the framework as a workable route to multi-cloud security that is quantum robust.

IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS)•Oct 30, 2025•0 citations
Quantum cryptography is one of the emerging nascent fields in the area of quantum computing. It has found its places in various diversified applications across the domains. Ensuring long term information security in the post-quantum era requires the redesigning of conventional algorithms, which are quantum resistant. In the post quantum era, the field of quantum cryptography promises trusted communications, but practical implementation of the networks suffers serious challenges from adaptive conditions like noise and failures of the network links. Revaluation of new quantum resistant security algorithms need to be considered. This paper presents a hybrid system that combines Machine Learning (ML), Quantum Key Distribution (QKD) along with software-defined networking (SDN) for real-time allocation of resources in quantum networks. This approach uses the random forest classifier to predict a different robust network path based on the key rate and quantum bit error rate parameters. As network conditions change, the SDN controller makes it possible to choose a dynamic link. The simulations methods show that the system can adapt to increased noise and compromised links and attain key rates of up to 12.5 Mbps with a QBER rate as low as 0.01. In comparison to manual resource allocation in quantum networks, simulation findings demonstrate greater adaptability and security. Software-defined networking (SDN), quantum bit error rate (QBER), quantum key distribution (QKD), post-quantum cryptography (PQC), machine learning, and resource allocation are the index terms. Results show higher adaptability and security with respect to manual allocation of resources in quantum networks.
Conventional cryptographic algorithms that are widely used in Software-Defined Networking (SDN), cloud computing, and edge computing infrastructures are facing a serious challenge because of the fast development of quantum computing. The traditional public-key cryptography like RSA and Elliptic Curve Cryptography (ECC) is believed to be vulnerable to quantum attacks, which will require quantum-resistant security mechanisms to be adopted. The past few years have seen a focus on incorporating Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), Artificial Intelligence (AI), blockchain, and Zero Trust Architecture (ZTA) into SDN, with the aim of creating secure, programmable, and intelligent communication infrastructures. The paper summarizes the recent progress in post-quantum secure SDN in cloud and edge computing. The study starts by examining how lattice-based cryptographic algorithms like CRYSTALS-Kyber and CRYSTALS-Dilithium can be integrated in SDN controllers and SDN programmable networks. Then, hybrid QKD-PQC architectures for quantum-safe communication are discussed, followed by intelligent SDN architectures based on AI-powered threat detection, blockchain-based trust management, and adaptive cryptographic orchestration. Moreover, the paper reviews recent advances, summarizes research challenges, and points towards scalable, autonomous, and quantum-resistant networking infrastructures for next-generation cloud, IoT, edge and 6G networks and ecosystem
Cloud infrastructures moving toward post-quantum cryptography present both opportunities and risks since safe workload interoperability is made more difficult by disparate providers' uneven key management. In this study, a crypto-agile zero-trust access architecture for multi-cloud environments is presented, utilizing software-defined networking (SDN) to coordinate quantum key distribution (QKD) and post-quantum cryptography (PQC) for session security. The architecture incorporates a policy-driven controller that uses programmable data planes for micro-segmentation and continuous verification to dynamically choose ML-KEM or QKD-derived keys for each transaction. The system includes automated failover between PQC and QKD to guarantee resilience, preserving secure connectivity in the event of link failure or resource exhaustion. QKD-PQC failover under adversarial stress, flow-level path enforcement via P4, and TLS 1.3 handshakes with PQC are all demonstrated using a simulation prototype. The results demonstrate that SDN-based orchestration can maintain performance and uphold zero-trust principles, while also highlighting the viability of quantifying PQC overhead in real-time cloud scenarios. This establishes the framework as a workable route to multi-cloud security that is quantum robust.