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SpringerBriefs in information security and cryptography

Introduction

Ernst Piller, Hubert Schölnast

Published Jan 1, 2026• 0 citations
Publisher

Abstract

Abstract This book is aimed at anyone interested in high data security in telecommunications and data storage, especially procurers, experts, and decision-makers. Anyone involved in procurement in this field makes decisions about algorithms, technologies, and providers, and thus also about infrastructure and security. The generation and distribution of keys for data encryption play a central role in this. Because security assessments for mathematical methods are based on assumptions, physical methods are becoming interesting in the high-security sector. They promise to link security more closely to the laws of nature. This raises the key question: Which technology is suitable for which application scenario, and what assumptions, costs, and operational risks are involved? This book provides answers and, for the first time, compares QKD (quantum key distribution), RKD (radio signal key distribution), and MKD (memory key distribution) in a common, comprehensible criteria grid: technology-neutral and practical. Secret key rates, ranges/attenuation, robustness, costs/infrastructure, standardization, and risks (implementation, integration, post-processing, side channels) are deliberately evaluated not as a ranking, but as a decision-making aid. QKD derives its security from the laws of quantum physics, but secret key rates decrease with increasing attenuation. Key management systems connect short QKD distances over longer distances, but only at the cost of additional attack surfaces (“trusted nodes”). Its use for mobile applications fails due to a lack of technical maturity. Very high financial costs and high maintenance requirements for QKD solutions make them not very suitable. RKD utilizes the reciprocal physical properties of a radio link and scores points for its low technical complexity, excellent suitability for mobile applications (e.g., vehicles or drones), and very low costs. However, RKD falls far short of the key rates achieved by QKD solutions and is still limited to shorter distances. In addition, there is no established infrastructure for distributing key material to more than two partners. MKD takes a completely different approach: each party produces key material, stores it on a data carrier, and transports it physically to the other party. Because MKD can securely transfer 16 TB of key material in a single transport, only MKD has the potential to continuously provide a one-time pad (OTP) and thus provably 100% secure data encryption. The price is organizational responsibility: secure generation, storage, transport, and documented chain of custody. The book examines data security in telecommunications and data storage, discusses three new encryption methods specifically designed for QKD and RKD, and addresses the question of when “OTP-like” security is more practical than theoretical purity. The result of approximately one year of source-critical research and the comparison of literature, manufacturer specifications, and practical observations with systematic cross-checking and our own R&D activities, this book helps to justify architecture and procurement decisions, locate risks (side channels, misconfigurations, logistical vulnerabilities), and separate “security gains” from “new attack surfaces.”

DOI
10.1007/978-3-032-24764-3_1

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General Information about Cryptography

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Abstract If the security assessments are not trusted, especially in cases of very high data security requirements, physical methods must be used for key generation and distribution, data encryption, and integrity and authenticity procedures. This ensures the confidentiality, integrity, and authenticity of the data against computationally powerful adversaries and mathematical attack methods that are still unknown (unpublished) today. This chapter provides an introduction to these topics, briefly compares mathematical methods, and discusses the generation and distribution of cryptographic keys, as well as QKD (Quantum Key Distribution), RKD (Radio signal Key Distribution), and MKD (Memeory Key Distribution).

SpringerBriefs in information security and cryptography•Jan 1, 2026•1 citation

Data Storage, Procurement, Distribution Logistics

Ernst Piller, Hubert Schölnast

Abstract This chapter deals with three practical aspects: Data encryption for data storage on PCs, Procurement of QKD, RKD, and MKD products with consideration for IT security and Distribution logistics for MKD (Secure logistics for the distribution of storage media for MKD).

SpringerBriefs in information security and cryptography•Jan 1, 2026•0 citations

Field Trial of a Finite-Key Quantum Key Distribution System in the Metropolitan Florence Area

Davide Bacco, Leif Katsuo Oxenløwe, Alessandro Zavatta +8 more

In a society based on the continuous exchange of sensitive data and information, the importance of secure and trustful communications is essential. Quantum key distribution (QKD) makes it possible to share data in an unconditionally secure way exploiting the basic principles of Quantum Mechanics [1]. During the last 30 years, many QKD protocols have been developed and tested, achieving long distance transmission [2] and secret key rates up to hundreds of Mbits per second [3]. However, this technology is still far from a large-scale deployment in existing fiber networks and telecom infrastructures, due to multiple factors: low secret-key rate, limited distance between users, lack of applications, high costs and high requirements in terms of low noise fiber links.

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Toward standardization of Quantum Key Distribution

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Information security becomes an inseparable part of our everyday life. An encryption \nmethod widely used today is public-key encryption. The security of this method is based on \na hard to solve mathematical problems against an adversary with limited computational \npower. Such an assumption could be broken as our understanding of the mathematics \nbeing improved or new computation tools being developed. One such tool that poses a \nthreat to the public key encryption is a quantum computer. As a result, a new encryption \nmethod with a new security assumption is required. \nQuantum key distribution is a point-to-point symmetric key distribution method with \nsecurity based on the law of physics. In theory, the key generated by QKD is informationtheoretic secured. However, in practice, physical devices could have flaws or possess some \nbehaviors deviated from the theoretical model. These imperfections could open security \nloopholes for an adversary to exploit, compromising the security. Thus the security verification and system characterization of practical implementation of QKD are necessary. \nThe necessity of this verification is further emphasized as several QKD systems are being \ncommercialized and used in several discrete communication links today. \nTo extend this new encryption system’s practical implementation on a wider network \nscale requires a set of standards or common practices for developers and service providers \nto follow. This set of rules is set to ensure the compatibility of different device models in \nthe network and ensure the security of each component in the system, which would affect \nthe security of the system as a whole. \nTo fulfill standardization and certification criteria, a record of best practice on security \nanalysis, system design, device characterization, and security verification of QKD implementation is required. The research projects throughout my Ph.D. study contribute toward \nthis practice. These studies also address some issues and provide possible solutions to the \ndevelopment of a standard for QKD. This thesis is a collection of six experimental studies \non performance evaluation and security verification of different components of practical \nquantum key distribution systems. \nThe first study is a comparison between the performance of the QKD system with \nquantum dot (QD) as a single-photon source and the performance of QKD with weakcoherent pulsed (WCP) source. The result shows that the QKD with QD could generate \nthe key at higher channel loss than WCP QKD using the same laser source. This result \nshows the potential of QKD with a single-photon source as a candidate for secret key \ndistribution over high channel loss, such as up-link satellite-based QKD. \nThe second study is a theoretical study on the method to characterize the QKD system \nagainst the Trojan-horse attack being considered as a standard for the QKD system. The \nresult shows a possible loophole of this method against a more powerful adversary than \nassumed in the previously proposed model. An improved version of characterization against \na more general form of Trojan-horse attack has been proposed. \nThe third experiment is on the information leakage from a free-space QKD receiver due \nto detector backflash, a photon produced by the detector upon detection. The result shows \nthat the backflash photons carry the information of the ’clicked’ detector that could be \ntransmitted back to the channel and discriminated by Eve. An experimental demonstration \nof this attack has been performed. Countermeasure both in theory and practical setup has \nbeen proposed. \nThe next experiment is on the effect of atmospheric turbulence on Eve’s spatial-mode \ndetection efficiency mismatch attack on the free-space QKD system. We show that, by \nusing a phase-only spatial light modulator (SLM) and hologram created by Zernike polynomials, atmospheric turbulence with various strength covered from sea level to upper \natmosphere can be experimentally emulated in the lab environment. We then use that \nsetup to show the limit of the distance that Eve’s attack is successful. The theoretical \nlimit of the attack distance also shown. \nIn the fifth study, we use the SLM and Zernike polynomial holograms to characterize a \nfree-space QKD system against spatial mode attack. The result shows that, with higherorder spatial modes and finer control of wavefront intensity distribution, Eve could bypass \nthe countermeasure proposed in our previous study. We proposed a more robust version \nof countermeasure against spatial mode attack. The new countermeasure is verified by the \nSLM setup. \nThe last study is on the fake-state attack on the transition edge sensor (TES). The \nresult shows that TES’s voltage response can be deterministically controlled by Eve using \nbright laser through the input channel. It also shows that the photon number result from \nTES can be controlled by Eve. An attack model exploiting this imperfection has been \nshown. \nIn addition to the contribution to the standardization of the QKD system, I hope that \nthe result of this thesis would emphasize the necessity of security verification of the QKD \nsystem and the verification of countermeasure and characterization method against more \ngeneral attack model. Although the unconditional security, promised in theory, could not \nyet be achieved, this loop of hacking and patching should provide us information and insight \non which security level could be claimed from the practical QKD devices implementing \ntoday.

•Sep 3, 2020•0 citations

Using Quantum Key Distribution for Securing Real-Time Applications

Miralem Mehić

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.

•Jan 1, 2017•0 citations

Quantum Key Distribution Principles and Protocols

Mohammad Ali A. Hammoudeh, Clinton M. Firth, Ahcène Bounceur +2 more

This chapter introduces Quantum Key Distribution (QKD), a key cryptographic technology that employs quantum mechanics to enhance communication security. Central to QKD is its use of quantum principles such as superposition, entanglement, and the no-cloning theorem, which collectively facilitate the generation of secure cryptographic keys. These keys are secure against both traditional cryptographic attacks and those posed by emerging quantum computing technologies. The chapter begins with a detailed introduction to the core concepts of QKD, explaining how it fundamentally differs from classical cryptographic methods by ensuring security based on the laws of physics rather than computational complexity. It traces the historical evolution of QKD, from early theoretical formulations to its current implementations and the development of key protocols like the BB84, which marked a significant milestone in practical QKD applications. As the discussion progresses, the chapter explores various sophisticated QKD protocols, including E91, decoy-state, and Measurement Device Independent (MDI) protocols. Each protocol is analysed for its operational mechanics, security features, and the specific challenges it addresses in protecting data against quantum threats. The technical complexities and requirements for implementing these protocols in real-world scenarios are also examined, showing their potential and limitations for extending secure communication networks. Moreover, the chapter evaluates the practical challenges associated with QKD, such as managing transmission distances, environmental susceptibilities, and the infrastructural demands of deploying quantum networks. It concludes by highlighting the future directions of QKD, underscoring its growing integration into critical global communication infrastructures, and its significant potential to revolutionize data security in the quantum age. This chapter presents the significance of QKD in modern cryptography, demonstrating its evolution from a conceptual framework to a fundamental technology set to counteract the challenges of quantum decryption. Through this approach, the chapter demonstrates the critical role of QKD in fortifying the foundations of secure communications worldwide.

CRC Press eBooks•Dec 9, 2024•1 citation
Abstract This book is aimed at anyone interested in high data security in telecommunications and data storage, especially procurers, experts, and decision-makers. Anyone involved in procurement in this field makes decisions about algorithms, technologies, and providers, and thus also about infrastructure and security. The generation and distribution of keys for data encryption play a central role in this. Because security assessments for mathematical methods are based on assumptions, physical methods are becoming interesting in the high-security sector. They promise to link security more closely to the laws of nature. This raises the key question: Which technology is suitable for which application scenario, and what assumptions, costs, and operational risks are involved? This book provides answers and, for the first time, compares QKD (quantum key distribution), RKD (radio signal key distribution), and MKD (memory key distribution) in a common, comprehensible criteria grid: technology-neutral and practical. Secret key rates, ranges/attenuation, robustness, costs/infrastructure, standardization, and risks (implementation, integration, post-processing, side channels) are deliberately evaluated not as a ranking, but as a decision-making aid. QKD derives its security from the laws of quantum physics, but secret key rates decrease with increasing attenuation. Key management systems connect short QKD distances over longer distances, but only at the cost of additional attack surfaces (“trusted nodes”). Its use for mobile applications fails due to a lack of technical maturity. Very high financial costs and high maintenance requirements for QKD solutions make them not very suitable. RKD utilizes the reciprocal physical properties of a radio link and scores points for its low technical complexity, excellent suitability for mobile applications (e.g., vehicles or drones), and very low costs. However, RKD falls far short of the key rates achieved by QKD solutions and is still limited to shorter distances. In addition, there is no established infrastructure for distributing key material to more than two partners. MKD takes a completely different approach: each party produces key material, stores it on a data carrier, and transports it physically to the other party. Because MKD can securely transfer 16 TB of key material in a single transport, only MKD has the potential to continuously provide a one-time pad (OTP) and thus provably 100% secure data encryption. The price is organizational responsibility: secure generation, storage, transport, and documented chain of custody. The book examines data security in telecommunications and data storage, discusses three new encryption methods specifically designed for QKD and RKD, and addresses the question of when “OTP-like” security is more practical than theoretical purity. The result of approximately one year of source-critical research and the comparison of literature, manufacturer specifications, and practical observations with systematic cross-checking and our own R&D activities, this book helps to justify architecture and procurement decisions, locate risks (side channels, misconfigurations, logistical vulnerabilities), and separate “security gains” from “new attack surfaces.”
Abstract If the security assessments are not trusted, especially in cases of very high data security requirements, physical methods must be used for key generation and distribution, data encryption, and integrity and authenticity procedures. This ensures the confidentiality, integrity, and authenticity of the data against computationally powerful adversaries and mathematical attack methods that are still unknown (unpublished) today. This chapter provides an introduction to these topics, briefly compares mathematical methods, and discusses the generation and distribution of cryptographic keys, as well as QKD (Quantum Key Distribution), RKD (Radio signal Key Distribution), and MKD (Memeory Key Distribution).
In a society based on the continuous exchange of sensitive data and information, the importance of secure and trustful communications is essential. Quantum key distribution (QKD) makes it possible to share data in an unconditionally secure way exploiting the basic principles of Quantum Mechanics [1]. During the last 30 years, many QKD protocols have been developed and tested, achieving long distance transmission [2] and secret key rates up to hundreds of Mbits per second [3]. However, this technology is still far from a large-scale deployment in existing fiber networks and telecom infrastructures, due to multiple factors: low secret-key rate, limited distance between users, lack of applications, high costs and high requirements in terms of low noise fiber links.
Information security becomes an inseparable part of our everyday life. An encryption \nmethod widely used today is public-key encryption. The security of this method is based on \na hard to solve mathematical problems against an adversary with limited computational \npower. Such an assumption could be broken as our understanding of the mathematics \nbeing improved or new computation tools being developed. One such tool that poses a \nthreat to the public key encryption is a quantum computer. As a result, a new encryption \nmethod with a new security assumption is required. \nQuantum key distribution is a point-to-point symmetric key distribution method with \nsecurity based on the law of physics. In theory, the key generated by QKD is informationtheoretic secured. However, in practice, physical devices could have flaws or possess some \nbehaviors deviated from the theoretical model. These imperfections could open security \nloopholes for an adversary to exploit, compromising the security. Thus the security verification and system characterization of practical implementation of QKD are necessary. \nThe necessity of this verification is further emphasized as several QKD systems are being \ncommercialized and used in several discrete communication links today. \nTo extend this new encryption system’s practical implementation on a wider network \nscale requires a set of standards or common practices for developers and service providers \nto follow. This set of rules is set to ensure the compatibility of different device models in \nthe network and ensure the security of each component in the system, which would affect \nthe security of the system as a whole. \nTo fulfill standardization and certification criteria, a record of best practice on security \nanalysis, system design, device characterization, and security verification of QKD implementation is required. The research projects throughout my Ph.D. study contribute toward \nthis practice. These studies also address some issues and provide possible solutions to the \ndevelopment of a standard for QKD. This thesis is a collection of six experimental studies \non performance evaluation and security verification of different components of practical \nquantum key distribution systems. \nThe first study is a comparison between the performance of the QKD system with \nquantum dot (QD) as a single-photon source and the performance of QKD with weakcoherent pulsed (WCP) source. The result shows that the QKD with QD could generate \nthe key at higher channel loss than WCP QKD using the same laser source. This result \nshows the potential of QKD with a single-photon source as a candidate for secret key \ndistribution over high channel loss, such as up-link satellite-based QKD. \nThe second study is a theoretical study on the method to characterize the QKD system \nagainst the Trojan-horse attack being considered as a standard for the QKD system. The \nresult shows a possible loophole of this method against a more powerful adversary than \nassumed in the previously proposed model. An improved version of characterization against \na more general form of Trojan-horse attack has been proposed. \nThe third experiment is on the information leakage from a free-space QKD receiver due \nto detector backflash, a photon produced by the detector upon detection. The result shows \nthat the backflash photons carry the information of the ’clicked’ detector that could be \ntransmitted back to the channel and discriminated by Eve. An experimental demonstration \nof this attack has been performed. Countermeasure both in theory and practical setup has \nbeen proposed. \nThe next experiment is on the effect of atmospheric turbulence on Eve’s spatial-mode \ndetection efficiency mismatch attack on the free-space QKD system. We show that, by \nusing a phase-only spatial light modulator (SLM) and hologram created by Zernike polynomials, atmospheric turbulence with various strength covered from sea level to upper \natmosphere can be experimentally emulated in the lab environment. We then use that \nsetup to show the limit of the distance that Eve’s attack is successful. The theoretical \nlimit of the attack distance also shown. \nIn the fifth study, we use the SLM and Zernike polynomial holograms to characterize a \nfree-space QKD system against spatial mode attack. The result shows that, with higherorder spatial modes and finer control of wavefront intensity distribution, Eve could bypass \nthe countermeasure proposed in our previous study. We proposed a more robust version \nof countermeasure against spatial mode attack. The new countermeasure is verified by the \nSLM setup. \nThe last study is on the fake-state attack on the transition edge sensor (TES). The \nresult shows that TES’s voltage response can be deterministically controlled by Eve using \nbright laser through the input channel. It also shows that the photon number result from \nTES can be controlled by Eve. An attack model exploiting this imperfection has been \nshown. \nIn addition to the contribution to the standardization of the QKD system, I hope that \nthe result of this thesis would emphasize the necessity of security verification of the QKD \nsystem and the verification of countermeasure and characterization method against more \ngeneral attack model. Although the unconditional security, promised in theory, could not \nyet be achieved, this loop of hacking and patching should provide us information and insight \non which security level could be claimed from the practical QKD devices implementing \ntoday.
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.
This chapter introduces Quantum Key Distribution (QKD), a key cryptographic technology that employs quantum mechanics to enhance communication security. Central to QKD is its use of quantum principles such as superposition, entanglement, and the no-cloning theorem, which collectively facilitate the generation of secure cryptographic keys. These keys are secure against both traditional cryptographic attacks and those posed by emerging quantum computing technologies. The chapter begins with a detailed introduction to the core concepts of QKD, explaining how it fundamentally differs from classical cryptographic methods by ensuring security based on the laws of physics rather than computational complexity. It traces the historical evolution of QKD, from early theoretical formulations to its current implementations and the development of key protocols like the BB84, which marked a significant milestone in practical QKD applications. As the discussion progresses, the chapter explores various sophisticated QKD protocols, including E91, decoy-state, and Measurement Device Independent (MDI) protocols. Each protocol is analysed for its operational mechanics, security features, and the specific challenges it addresses in protecting data against quantum threats. The technical complexities and requirements for implementing these protocols in real-world scenarios are also examined, showing their potential and limitations for extending secure communication networks. Moreover, the chapter evaluates the practical challenges associated with QKD, such as managing transmission distances, environmental susceptibilities, and the infrastructural demands of deploying quantum networks. It concludes by highlighting the future directions of QKD, underscoring its growing integration into critical global communication infrastructures, and its significant potential to revolutionize data security in the quantum age. This chapter presents the significance of QKD in modern cryptography, demonstrating its evolution from a conceptual framework to a fundamental technology set to counteract the challenges of quantum decryption. Through this approach, the chapter demonstrates the critical role of QKD in fortifying the foundations of secure communications worldwide.