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IEEE Transactions on Quantum Engineering

Programmable Quantum Networked Microgrids

Zefan Tang, Peng Zhang, Walter O. Krawec, Zimin Jiang

Published Jan 1, 2020• 36 citations
Publisher

Abstract

Quantum key distribution (QKD) provides a potent solution to securely distribute keys for two parties. However, QKD itself is vulnerable to denial of service (DoS) attacks. A flexible and resilient QKD-enabled networked microgrids (NMs) architecture is needed but does not yet exist. In this article, we present a programmable quantum NMs (PQNMs) architecture. It is a novel framework that integrates both QKD and software-defined networking (SDN) techniques capable of enabling scalable, programmable, quantum-engineered, and ultra-resilient NMs. Equipped with a software-defined adaptive post-processing approach, a two-level key pool sharing strategy and an SDN-enabled event-triggered communication scheme, these PQNMs mitigate the impact of DoS attacks through programmable post-processing and secure key sharing among QKD links, a capability unattainable using existing technologies. Through comprehensive evaluations, we validate the benefits of PQNMs and demonstrate the efficacy of the presented strategies under various circumstances. Extensive results provide insightful resources for building QKD-enabled NMs in practice.

DOI
10.1109/tqe.2020.3019738

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Quantum key distribution (QKD) has been considered a potent and mature approach to secure communication in the quantum era. However, there exist resilience gaps that hinder the practical usefulness of QKD. This paper improves the resilience of a QKD-based microgrid by leveraging software-defined networking (SDN). Specifically, the following contributions have been made: 1) a novel QKD- and SDN-based communication framework is devised for microgrids; 2) an enhanced QKD simulator (QKDS+) is developed, which can simulate both the number of generated keys and the amount of classical data required, providing a more accurate QKD study in microgrids; 3) an SDN-based resilience enhancement strategy, which incorporates three practical SDN applications, is developed to improve the system's resilience; and 4) a QKD- and SDN-enabled cyber-physical microgrid prototype is built in an RTDS environment using real whitebox SDN switches. Extensive case studies validate the effectiveness and excellent performance of SDN to improve the resilience of QKD-based microgrids in various situations.
The classical key distribution systems used for data transmission in networked microgrids (NMGs) rely on mathematical assumptions, which however can be broken by attacks from quantum computers. This paper addresses this quantum-era challenge by using quantum key distribution (QKD). Specifically, the novelty of this paper includes 1) a QKD-enabled communication architecture it devises for NMGs, 2) a real-time QKD- enabled NMGs testbed it builds in an RTDS environment, and 3) a novel two-level key pool sharing (TLKPS) strategy it designs to improve the system resilience against cyberattacks. Test results validate the effectiveness of the presented strategy, and provide insightful resources for building quantum-secure NMGs.
Existing microgrid communication relies on classical public key systems, which are vulnerable to attacks from quantum computers. This paper uses quantum key distribution (QKD) to solve these quantum-era microgrid challenges. Specifically, this paper makes the following novel contributions: 1) it devises a novel QKD simulator capable of simulating QKD protocols; 2) it offers a QKD-based microgrid communication architecture for microgrids; 3) it shows how to build a quantum-secure microgrid testbed in an RTDS environment; 4) it develops a key pool sharing (KPS) strategy to improve the cyberattack resilience of the QKD-based microgrid; and 5) it analyzes the impacts of critical QKD parameters with the testbed. Test results provide insightful resources for building a quantum-secure microgrid.
The rapid evolution of digital infrastructure has raised significant concerns about the security of data transmission, particularly with the advent of quantum computing. Traditional cryptographic algorithms are vulnerable to attacks, highlighting the need for quantum-resistant solutions. This paper presents the integration of Quantum Key Distribution (QKD) with Software-Defined Networking (SDN) and network slicing to build a secure, programmable, and flexible network architecture. QKD ensures unconditional security based on quantum mechanics by enabling key distribution with the ability to detect eavesdropping through quantum bit error rates (QBER). SDN provides centralized control and real-time traffic management, while network slicing allows isolation, reliability and customization of traffic flows for specific applications such as URLLC, eMBB, and mMTC. When abnormal QBER or decryption failures are detected, mitigation actions such as Quantum key refresh, traffic rerouting, or attacker isolation are triggered and Performance evaluation of the system is based on Latency and throughput Experimental validation using Mininet and Ryu demonstrates secure key distribution, attack detection, and slice-specific threat mitigation. This integrated approach enhances end-to-end security for next-generation networks, with strong applicability to5G/6G\mathbf{5 G} \boldsymbol{/} \mathbf{6 G}5G/6G, IoT, and mission-critical services.
The ability to protect information has always played an important role in the evolution of civilizations, and even in the history of mankind as a whole. Safe and reliable communications have become an essential component of people’s lives in the era of modern digital technologies, when all spheres and areas of activity, from defense and government to business and social communications, are unthinkable without real-time data exchange. Classical methods of cryptographic protection have long been used to ensure the security of data transmission, but with the explosive growth in computing power and the emerging development of quantum computers, many traditional solutions have become vulnerable. Quantum Key Distribution (QKD) is a popular research area at the moment, due to its use of the laws of quantum mechanics, and thus it is possible to provide a completely secure level of encryption. But traditional quantum communication protocols have their limitations, including low key generation rates, scalability problems in large networks, and vulnerabilities to various forms of cyberattacks in the network layer. Therefore, in this work we propose a new adaptive quantum key distribution algorithm using software-defined networking (SDN) technology. The main idea of the proposed approach is to introduce some level of redundancy in the key generation stage, which increases the throughput, robustness, and adaptability of multi-node quantum networks. In addition, the SDN control layer allows dynamic routing and resource management and quick response to changes in the network state, making the system more resistant to denial-of-service and eavesdropping attacks. Evaluating our solution in comparison with BB84, we show that the new algorithm provides better performance without losing its security level, making the work a step towards creating a working quantum-secure communication system.
The integration of information and communication technologies has introduced cybersecurity challenges to microgrid (MG) apart from bringing more flexibility, reliability, and resilience. Especially in the upcoming quantum era, the existing cryptographic systems are vulnerable to attacks from quantum computers. Motivated by these challenges, this article proposes a quantum-key-distribution (QKD)-based MG distributed control framework for cybersecurity enhancement. To defend the side-channel attacks and make the framework practical enough for industrial applications, measurement-device-independent QKD (MDI-QKD) is introduced. The following contributions are made in this work. 1) A novel QKD-based quantum-secure control architecture is established to assure the data transmission security in MG distributed control. 2) MDI-QKD with asymmetric protocol is used to form a scalable QKD network for MG control. 3) A method for fast parameter optimization based on deep neural network (DNN) is proposed to adjust the parameters in QKD systems in real-time. Simulations are carried on a 13-bus MG to demonstrate the working principles of the proposed control scheme. The test results also prove the feasibility of the DNN-based parameter optimizer.