A Modeling Framework for Studying Quantum Key Distribution System Implementation Nonidealities
Logan O. Mailloux, Jeffrey D. Morris, Michael R. Grimaila, Douglas D. Hodson, David R. Jacques, John M. Colombi, Colin V. McLaughlin, Jennifer A. Holes
Quantum key distribution (QKD) is an innovative technology that exploits the laws of quantum mechanics to generate and distribute unconditionally secure shared key for use in cryptographic applications. However, QKD is a relatively nascent technology where real-world system implementations differ significantly from their ideal theoretical representations. In this paper, we introduce a modeling framework built upon the OMNeT++ discrete event simulation framework to study the impact of implementation nonidealities on QKD system performance and security. Specifically, we demonstrate the capability to study the device imperfections and practical engineering limitations through the modeling and simulation of a polarization-based, prepare and measure BB84 QKD reference architecture. The reference architecture allows users to model and study complex interactions between physical phenomenon and system-level behaviors representative of real-world design and implementation tradeoffs. Our results demonstrate the flexibility of the framework to simulate and evaluate current, future, and notional QKD protocols and components.
Quantum key distribution (QKD) is an innovative technology that exploits the laws of quantum mechanics to generate and distribute unconditionally secure shared key for use in cryptographic applications. However, QKD is a relatively nascent technology where real-world system implementations differ significantly from their ideal theoretical representations. In this paper, we introduce a modeling framework built upon the OMNeT++ discrete event simulation framework to study the impact of implementation nonidealities on QKD system performance and security. Specifically, we demonstrate the capability to study the device imperfections and practical engineering limitations through the modeling and simulation of a polarization-based, prepare and measure BB84 QKD reference architecture. The reference architecture allows users to model and study complex interactions between physical phenomenon and system-level behaviors representative of real-world design and implementation tradeoffs. Our results demonstrate the flexibility of the framework to simulate and evaluate current, future, and notional QKD protocols and components.
This article presents the background, development, and implementation of a simulation framework used to model the quantum exchange aspects of Quantum Key Distribution (QKD) systems. The presentation of our simulation framework is novel from several perspectives, one of which is the lack of published information in this area. QKD is an innovative technology which exploits the laws of quantum mechanics to generate and distribute unconditionally secure cryptographic keys. While QKD offers the promise of unconditionally secure key distribution, real world systems are built from non-ideal components which necessitates the need to understand the impact these non-idealities have on system performance and security. To study these non-idealities we present the development of a quantum communications modeling and simulation capability. This required a suitable mathematical representation of quantum optical pulses and optical component transforms. Furthermore, we discuss how these models are implemented within our Discrete Event Simulation-based framework and show how it is used to study a variety of QKD implementations.
Quantum Key Distribution (QKD) is an innovative technology which exploits the laws of quantum mechanics to generate and distribute unconditionally secure cryptographic keys. While QKD offers the promise of unconditionally secure key distribution, real world systems are built from non-ideal components which necessitates the need to model and understand the impact these non-idealities have on system performance and security. OMNeT++ has been used as a basis to develop a simulation framework to support this endeavor. This framework, referred to as "qkdX" extends OMNeT++'s module and message abstractions to efficiently model optical components, optical pulses, operating protocols and processes. This paper presents the design of this framework including how OMNeT++'s abstractions have been utilized to model quantum optical components, optical pulses, fiber and free space channels. Furthermore, from our toolbox of created components, we present various notional and real QKD systems, which have been studied and analyzed.
Quantum key distribution (QKD) exploits the laws of quantum physics to generate shared secret cryptographic keys and can detect eavesdroppers during the key generation process. However, previous QKD research has focused more on theory than practice. QKD is the most mature application of the quantum information field, offering the means for two parties to generate secure cryptographic keying material. Employing the laws of quantum physics, QKD can detect eavesdroppers during the key generation process, in which unauthorized observation of quantum communication induces discernible errors. However, QKD is a nascent technology where real-world systems are constructed from nonideal components and deployed in uncertain operational environments, which can adversely impact system security and performance. In this article, we study the performance impact of QKD implementation nonidealities and practical engineering limitations, evaluating three system examples using a modularized simulation framework. We also explore the QKD security–performance trade space to gain additional understanding of critical design tradeoffs associated with interactions between physical components and system-level considerations such as hardware, software, and protocols. Such evaluations provide insight and inform designers, researchers, and users when selecting among competing solutions; decision makers can also use them to guide future investments and developmental efforts. Our research team focuses on bridging the gap between QKD theory and practice. Theoretical and experimental physicists are working to advance QKD technology, but few are strongly focused on evaluating and improving the implementation of realized systems. For a general introduction to QKD, see Chip Elliot’s “Quantum Cryptography.”
Abstract : Quantum Key Distribution (QKD) is a revolutionary security technology that exploits the laws of quantum mechanics to achieve information-theoretical secure key exchange. QKD is suitable for use in applications that require high security such as those found in certain commercial, governmental, and military domains. As QKD is a new technology, there is a need to develop a robust quantum communication modeling and simulation framework to support the analysis of QKD systems. This dissertation presents conceptual modeling QKD system components using the Discrete Event System Specification (DEVS) formalism to assure the component models are provably composable and exhibit temporal behavior independent of the simulation environment. These attributes enable users to assemble and simulate any collection of compatible components to represent QKD system architectures. The developed models demonstrate closure under coupling and exhibit behavior suitable for the intended analytic purpose, thus improving the validity of the simulation. This research contributes to the validity of the QKD simulation, increasing developer and user confidence in the correctness of the models and providing a composable, canonical basis for performance analysis efforts. The research supports the efficient modeling, simulation, and analysis of QKD systems when evaluating existing systems or developing next generation QKD cryptographic systems.
Quantum Key Distribution (QKD) systems are a novel technology that exploits the laws of quantum mechanics to generate and distribute unconditionally secure cryptographic keys between two geographically separated parties. They are suitable for use in applications where high levels of secrecy are required, such as banking, government, and military environments. In this paper, we describe the development of a module-based QKD simulation framework that facilitates the modeling of QKD post-processing functionalities. We highlight design choices made to improve upon an initial design, which included the segmentation of functionalities associated with various phases of QKD post-processing into discrete modules implementing abstract interfaces. In addition, communication between modules was improved by implementing observers to share data, and a specific strategy for dealing with post-processing synchronization and configuration activities was designed. Collectively, these improvements resulted in a significantly enhanced analysis capability to model and study the security and performance characteristics associated with specific QKD system designs.
Quantum Key Distribution (QKD) is an innovative technology which exploits the laws of quantum physics to generate and distribute shared secret key for use in cryptographic devices. Quantum Key Distribution offers the advantage of ‘unconditionally secure’ key generation with the unique ability to detect eavesdropping on the key distribution channel and shows promise for high-security applications such as those found in banking, government, and military environments. However, Quantum Key Distribution is a nascent technology where realized systems suffer from implementation non-idealities, which may significantly impact system performance and security. In this article, we discuss the modeling of a decoy state enabled Quantum Key Distribution system built to study the impact of these practical limitations. Specifically, we present a thorough background on the decoy state protocol, detailed discussion of the modeled decoy state enabled Quantum Key Distribution system, and evidence for component and sub-system verification, as well as, multiple examples of system-level validation. Additionally, we bring attention to practical considerations associated with implementing the decoy state protocol security condition gained from these research activities.