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Advances in physics research/Advances in Physics Research

Application exploration of Quantum Security Service Platform based on Quantum Key Distribution

Rutong Zhang, Zhining Ye, Guoliang Yang, Xuefu Wang

Published Jan 1, 2024• 0 citations
Publisher

Abstract

Quantum key distribution can produce real-time quantum keys between nodes in different places.Its application is limited by the optical fiber environment and cannot be directly applied to mobile Internet or Internet of Things.This paper describes the application of quantum keys to mobile Internet or Internet of Things(IoT) through the preset key protection mechanism of classic cipher .And applied in specific scenarios such as email encryption, video conference encryption, and mobile terminal encryption. Key words QKD Preset key Mobile/IoT application encryption Related background1.1 Requirements of the cipher system The cipher system requires long-term security 1 .The cipher system needs to be able to remain secure for a long time in the future.It means that even if the attacker gets a lot of computing resources, it is still impossible to crack.1.2 Limitations of the asymmetric cipher system In December 2023, IBM released a quantum computing chip with 1,121 superconducting qubits.With the rapid development of quantum computing, the public key cryptography system based on difficult mathematical problems such as mass factor decomposition and discrete logarithm faces great challenges.1.3 Limitations of Quantum Key Distribution As an anti-quantum attack technology 2 , the Quantum Key Distribution technology has the application conditions of providing OTP.Can provide solutions with the unconditional security of information theory.However, the deployment of Quantum Key Distribution should have certain optical fiber resources, which cannot be applied to application scenarios such as mobile Internet or Internet of Things.1.4 Generation of Quantum Security Service Platform This paper proposes to combine Quantum Key Distribution and cipher management to build Quantum Security Service capabilities, so as to provide cipher applications with

DOI
10.2991/978-94-6463-463-1_6

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Quantum key distribution can produce real-time quantum keys between nodes in different places.Its application is limited by the optical fiber environment and cannot be directly applied to mobile Internet or Internet of Things.This paper describes the application of quantum keys to mobile Internet or Internet of Things(IoT) through the preset key protection mechanism of classic cipher .And applied in specific scenarios such as email encryption, video conference encryption, and mobile terminal encryption. Key words QKD Preset key Mobile/IoT application encryption Related background1.1 Requirements of the cipher system The cipher system requires long-term security 1 .The cipher system needs to be able to remain secure for a long time in the future.It means that even if the attacker gets a lot of computing resources, it is still impossible to crack.1.2 Limitations of the asymmetric cipher system In December 2023, IBM released a quantum computing chip with 1,121 superconducting qubits.With the rapid development of quantum computing, the public key cryptography system based on difficult mathematical problems such as mass factor decomposition and discrete logarithm faces great challenges.1.3 Limitations of Quantum Key Distribution As an anti-quantum attack technology 2 , the Quantum Key Distribution technology has the application conditions of providing OTP.Can provide solutions with the unconditional security of information theory.However, the deployment of Quantum Key Distribution should have certain optical fiber resources, which cannot be applied to application scenarios such as mobile Internet or Internet of Things.1.4 Generation of Quantum Security Service Platform This paper proposes to combine Quantum Key Distribution and cipher management to build Quantum Security Service capabilities, so as to provide cipher applications with
Current cryptographic techniques broadly specified as conventional cryptography is solely based on the solidity of the mathematical concepts. The advancements in quantum computing can use reversible logic to compute the keys and easily break the existing security in conventional computers. From the analysis of the network structure of Internet of Things (IOT) it is very clear that the entire backbone of the system would collapse if it is attacked or hacked. IOT is a wireless technology that connects “ANYTHING” around to the Internet. IOT is a revolution which should be protected from the attackers as it would lead to several losses which could even be fatal. Hence a strong provision for securing users data in IOT is a real challenge. This paper is attempted to review the fundamentals of Quantum Key Distribution, security aspects for IOT and to address how QKD can be used to secure a IOT system. The challenge encountered is to increase the range and increase the transmission rate of data in QKD systems and to check for a possible solution to adhere these systems with existing information security solutions
The exponential growth of the Internet of Things (IoT) and its integration into critical infrastructures has elevated the need for robust and future-proof security mechanisms. Traditional cryptographic systems, while effective today, are increasingly vulnerable to advancements in quantum computing. This paper explores the integration of Quantum Key Distribution (QKD) as a novel security paradigm for next-generation IoT ecosystems. QKD leverages the principles of quantum mechanics to enable unconditionally secure key exchange, immune to computational attacks. We propose an architecture where QKD-enabled edge gateways and IoT nodes facilitate real-time secure communication through quantum-secured channels. The study analyzes the feasibility of implementing QKD in resource-constrained IoT environments and evaluates its performance in terms of key generation rate, latency, and energy consumption. Simulation results demonstrate that the proposed QKD-IoT framework significantly outperforms conventional encryption protocols in resisting both classical and quantum-based attacks, making it a viable foundation for building post-quantum resilient IoT infrastructures. The research also outlines the challenges related to scalability, hardware integration, and key management, and proposes solutions through hybrid QKD-classical cryptography models. This work paves the way for a quantum-secure IoT future, ensuring trust, privacy, and integrity in hyper-connected digital ecosystems.
The Internet of Things (IoT) now underpins critical systems like healthcare monitors, smart home, smart grids, automotive V2V & V2X networks, and industrial controls but it still relies on classical cryptography, whose security assumptions are vulnerable to quantum computers. A large quantum computer could run Shor’s algorithm to break RSA/ECC and use Grover’s algorithm to accelerate brute-forcing of symmetric keys, undermining the confidentiality and authentication of data in these IoT applications. Researchers have proposed quantum cryptographic solutions. Quantum key distribution (QKD) and quantum random number generators (QRNGs) exploit quantum mechanics to detect eavesdropping and deliver provably secure key material. For example, chip-scale QRNGs can be embedded in IoT sensors to generate true random keys, boosting resistance to brute-force attacks. These quantum techniques provide information-theoretic secrecy, for instance, QKD-generated keys have been used to authenticate smart-grid SCADA. However, most IoT devices are resource-constrained, making direct deployment of conventional QKD hardware challenging. Post-quantum cryptography (PQC) complements quantum methods by providing algorithms such as lattice-based, hash-based that resist quantum attacks on existing hardware. Standardized PQC can be deployed via software updates on legacy IoT nodes, enabling scalable and quantum-safe security within current constraints. Researchers are exploring lightweight PQC for connected cars and e-health sensors. Hybrid approaches combining QKD/QRNG with PQC offer a layered defense. Since QKD protocols are regarded as ‘future-proof’ and PQC standards mature, their combined use will be essential for robust, quantum-safe IoT security. Miniaturizing quantum components such as integrated QKD/QRNG modules and optimizing lightweight PQC schemes for low-power IoT devices are future research directions to secure IoT networks.
The rapid expansion of the Internet of Things (IoT) has introduced significant security challenges, especially in safeguarding sensitive data transmitted across vast networks. Traditional cryptographic methods, though widely used, face increasing vulnerabilities in light of advancements in quantum computing. This research explores the application of quantum cryptography, particularly Quantum Key Distribution (QKD), to secure data transmission in IoT networks. Quantum cryptography offers a revolutionary approach by utilizing the principles of quantum mechanics, ensuring communication channels are resistant to eavesdropping and quantum attacks. Despite its promise, integrating quantum cryptography into resource-constrained IoT environments presents several technical challenges. This paper examines current quantum cryptographic techniques, their feasibility for IoT applications, and proposed solutions for overcoming integration hurdles. Case studies of real-world implementations and experimental results are discussed to highlight the effectiveness of these methods. The findings suggest that quantum cryptography, while still in its infancy for IoT, has the potential to provide robust security solutions in future networks.
Conventional cryptography relies only on the robustness of mathematical principles. Advancements in quantum computing may use reversible logic to calculate keys and easily compromise the security of traditional computers. The examination of the Internet of Things (IoT) network topology reveals that the whole system's backbone would disintegrate if subjected to an assault or hacking attempt. The Internet of Things (IoT) is a wireless technology that links various objects to the Internet. The Internet of Things (IoT) represents a revolution that must be safeguarded from attackers, since breaches might result in significant, perhaps deadly losses. Consequently, ensuring robust protection of user data in IoT is a significant problem. This study aims to explore the principles of Quantum Key Distribution, examine security considerations for the Internet of Things, and discuss the use of QKD in securing IoT systems. The problem faced is to enhance the range and transmission rate of data in Quantum Key Distribution (QKD) systems, while also exploring potential methods to integrate these systems with current information security measures.
The resource limitations of IoT nodes and the vulnerability of wireless channels to cyberattacks and snooping, the quick spread of Internet of Things (IoT) devices in wireless surroundings has created serious challenges to data security and privacy. The development of quantum computing, which can meritoriously crack classical encryption, is posing a growing threat to recognized cryptographic techniques like RSA and ECC. By applying concepts from quantum mechanics like predicament cloning, quantum cryptography, in particular Quantum Key Distribution (QKD), provides tentatively unbreakable security. In order to integrate lightweight quantum key exchange with traditional IoT communication protocols, this paper proposes a comprehensive Quantum Cryptography Framework (QCF) exactly designed for Wireless IoT networks. The framework is made to preserve energy efficiency while certifying forward secrecy, confidentiality, integrity, and authentication. A performance evaluation in terms of latency, throughput, and resistance to quantum attacks supports our discussion of the architecture, working mechanism, and implementation deliberations. The findings show that, when compared to traditional encryption methods, the suggested QCF greatly improves the security of wireless IoT systems, certifying resilience against oppositional models of the future.