Quantum Key Distribution (QKD) is a promising technology that allows two nodes to privately agree on a key through a quantum channel. Unfortunately, QKD is still in experimental phase and researchers must rely on simulators to replicate the behaviour of a quantum network. One of the most widespread is QKDNetSim, a module for the C++ network simulator NS-3. However, this module is very limited in its behaviour, so it does not faithfully represent a real quantum network. In this work we analyse the structure and components of QKDNetSim, as well as its shortcomings and how they affect the quality of the simulation
Quantum Key Distribution (QKD) is a promising technology that allows two nodes to privately agree on a key through a quantum channel. Unfortunately, QKD is still in experimental phase and researchers must rely on simulators to replicate the behaviour of a quantum network. One of the most widespread is QKDNetSim, a module for the C++ network simulator NS-3. However, this module is very limited in its behaviour, so it does not faithfully represent a real quantum network. In this work we analyse the structure and components of QKDNetSim, as well as its shortcomings and how they affect the quality of the simulation
Network emulators play an important role in testing network systems, applications, and protocols. Emulators bridge the gap between simulation setups that lack realism in results and real-world trials that are accurate but often expensive, non-reproducible, and uncontrollable. This article presents an extended model of the Quantum Key Distribution Network Simulation Module (QKDNetSim) with a model catalog of QKD components and functionalities. We explore emulations of point-to-point connections in QKD networks and the interaction of essential components within QKD nodes. The presented tool will undoubtedly spur future development and teaching, and it is critical for testing novel applications and protocols applied to QKD networks.
Abstract The aim is to analyze the efficiency of a communication method, Quantum key distribution. This newly popularized method of communication uses the principles of quantum mechanics. The simulation environment allows researchers to create complex network topologies and a high degree of control and repeatable experiments, allowing them to conduct studies and verify their outcomes. It would be costly to implement QKD in reality, which would need optical and Internet connections between network nodes and the verification of a certain network method or protocol. Thus, the performance analysis here is done in open-source software called NS-3 or Network Simulator- 3, which has an in-built module called QKD netsim for creating the quantum channel.
Quantum Key Distribution (QKD), a novel secret key agreement primitive, enables long-awaited practical Information-Theoretical Security (ITS). Over the last two decades, academic and industrial communities have devoted their time and resources to developing QKD- based networks that distribute ITS keys to remote parties. However, because of the limited availability of QKD network testbeds to the larger research community and the difficulty and cost of their deployment, progress in this area has been noticeably slow. To that end, we provide an analysis of selected simulated use-cases from the EU H2020 OPENQKD project using the QKDNetSim network simulator. The tool has been extensively upgraded to test novel network management methodologies applied to large-scale QKD networks.
Quantum Key Distribution (QKD), based on the laws of physics rather than the computational \ncomplexity of mathematical problems, provides a secure way of establishing symmetrical binary \nkeys between two geographically distant users. The keys are secure from eavesdropping during \ntransmission and QKD ensures that any third party’s knowledge of the key is reduced to a \nminimum. In recent years, a noticeable progress in the development of quantum equipment has \nbeen reflected through a number of successful demonstrations of QKD technology. While they \nshow the great achievements of QKD, many practical difficulties still need to be resolved, such as \nto provide better service differentiation. These networks are characterized as being multihop in \nnature where the consumption key rate is often higher than the charging key rate, which means that \nthe links are available for a limited period of time only. Such features impose several challenges \non the effective modeling and evaluation of reliability as well as finding appropriate Quality \nof Service (QoS) solution. This thesis focuses on research in the field of QKD for securing \nreal-time communication by supporting QoS in QKD networks including a novel QoS model \nand novel distributed reactive routing protocol to achieve high-level scalability and minimize the \nconsumption of key material used for securing routing data. \nAs research in QKD networks grows larger and more complex, the need for highly accurate and \nscalable simulation technologies becomes important to assess the practical feasibility and foresee \ndifficulties in the practical implementation of theoretical achievements. Due to the specificity of \nQKD link which requires optical/quantum and Internet connection between the network nodes, it \nis very costly to deploy a complete testbed containing multiple network hosts and links to validate \nand verify a certain network algorithm or protocol. The network simulators in these circumstances \nsave a lot of money and time in accomplishing such task. A simulation environment offers the \ncreation of complex network topologies, a high degree of control and repeatable experiments, \nwhich in turn allows researchers to conduct exactly the same experiments and confirm their results. \nThis thesis describes the design and implementation of QKD network simulation module which \nwas developed in the network simulator of version 3 (NS-3). The module supports simulation \nof QKD network in overlay mode or in a single TCP/IP mode. Therefore, it can be used for \nsimulation of other network technologies regardless of QKD. \nImplemented simulation model was used for verification of proposed QoS solution. A number \nof simulations were performed. The obtained data have confirmed the primary thesis of this study, \nthat it is possible to use real-time applications in QKD networks.
Realistic simulation of quantum key distribution (QKD) networks requires a combination of precise models of quantum channels and network functions. Unfortunately, existing QKD network simulators lack either rigorous quantum physics modeling or network key-management and routing protocols, which limit their practical applicability. To address this limitation, we propose a QKD network simulator with hyperparameter tuning (QKDSim-HT), a NetSquid-based simulator specialized for polarization-based discrete-variable QKD networks. Specifically, QKDSim-HT models properties in quantum physics (photon loss, polarization-dependent depolarization, detector inefficiencies, dark counts, and dead times) as well as advanced functionalities in networking algorithms (multi-hop key relay and adaptive routing). Extensive simulations over diverse topologies reveal that the networking performance varied with respect to the fundamental properties of quantum physics, such as depolarization, fiber length, and channel attenuation. As a representative use case of QKDSim-HT, simulation results from QKDSim-HT over simple examples clearly manifest that a design of QKD networks highly affects performance of the networks. Accordingly, QKDSim-HT can serve as a practical platform for performance evaluation and optimization of quantum secured network.
The theory of QKD was first introduced in the 1980s. Initially, classical cryptographic methods were used to secure communication, but it was not a secure approach. Quantum Key Distribution (QKD) represents high-tech solution in the arena of secure and reliable cryptography and communication. Quantum key distribution make the use of quantum superposition and quantum entanglement to facilitate the secure interchange of cryptographic keys between two parties, with a theoretical invulnerability resistant to many threats, also including the threats that classical computing faces. On the other hand, blockchain is secured through cryptographic measures. A wide range of block chain applications rely on digital signatures and hash function which is easily traceable by quantum computers. The progress in quantum computing poses a potential risk of compromising existing cryptographic algorithms, in response to this challenge, proposals for potential solutions, such as the development of quantum-resistant blockchains, are being presented. The motivation of this study is to secure blockchain with the help of QKD. Fundamentally, understanding quantum key distribution is challenging. Hence, this research employs a Quantum Key Distribution Network simulator to analyze key distribution. The study focuses on illuminating the security concerns within blockchain and explores a potential solution through the deployment of quantum key distribution. Additionally, the research delves into the examination of a quantum key distribution network using a dedicated simulator.