The shipbuilding industry is embracing digital transformation, demanding secure, efficient, and scalable communication networks to support its complex operations. Traditional networking frameworks often lack the adaptability and security required for this sector. This research proposes a Secure Software Defined Networking (SDN) framework tailored to shipbuilding, enabling end-to-end programmable transmission. By decoupling control and data planes, the framework offers centralized management, real-time adaptability, and seamless integration of IoT devices and automated systems. To address security challenges, Quantum Cryptography is integrated, utilizing Quantum Key Distribution (QKD) for unbreakable encryption and enhanced data confidentiality. The framework ensures secure transmission for critical operations like design collaboration, supply chain management, and autonomous vessel communication. Performance metrics include high transmission time (100ms), data throughput (190Mbps), security level (90%), latency (25ms), and packet loss rate (4%). Use cases such as real-time monitoring, collaborative design, and secure supply chain communication demonstrate the framework's practical applicability and effectiveness.
The shipbuilding industry is embracing digital transformation, demanding secure, efficient, and scalable communication networks to support its complex operations. Traditional networking frameworks often lack the adaptability and security required for this sector. This research proposes a Secure Software Defined Networking (SDN) framework tailored to shipbuilding, enabling end-to-end programmable transmission. By decoupling control and data planes, the framework offers centralized management, real-time adaptability, and seamless integration of IoT devices and automated systems. To address security challenges, Quantum Cryptography is integrated, utilizing Quantum Key Distribution (QKD) for unbreakable encryption and enhanced data confidentiality. The framework ensures secure transmission for critical operations like design collaboration, supply chain management, and autonomous vessel communication. Performance metrics include high transmission time (100ms), data throughput (190Mbps), security level (90%), latency (25ms), and packet loss rate (4%). Use cases such as real-time monitoring, collaborative design, and secure supply chain communication demonstrate the framework's practical applicability and effectiveness.
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, IoT, and mission-critical services.
Software-defined networking (SDN) has emerged as a promising paradigm for managing and controlling network resources efficiently. However, ensuring the security of data packets transmitted within an SDN environment remains a critical challenge. Traditional networking relies on static configurations, while SDN offers dynamic control and programmability, revolutionizing network management. In SDN, the application layer employs tools like OpenDaylight and Mininet for network management and testing. The control layer, managed by controllers such as Floodlight or ONOS, orchestrates traffic flow among switches. In the infrastructure layer, Quantum Key Distribution (QKD) with the BB84 protocol ensures secure communication. Together, these layers enable agile, programmable, and secure networking paradigms. This paper proposes integrating quantum key distribution (QKD) into SDN architectures to bolster packet-level security. By leveraging quantum entanglement and uncertainty, a secure communication channel between SDN controllers and switches is established, resilient to quantum attacks. Evaluation through simulations and real-world experiments demonstrates efficacy in mitigating security threats while minimizing overhead and latency, advancing SDN security IEEE 802.1X capabilities and leveraging quantum technologies for cybersecurity.
Software-Defined Networking (SDN) is an emerging networking paradigm that decouples the control and data plane in order to enable programmable and flexible networks, optimizing its applications and advancing computer systems. It does so through its architecture, a key part of which is a centralized network management through open interfaces that revolutionizes the way in which networks are designed and makes them more agile and versatile to the evolving needs of modern and future applications services. This also means, however, that there is now a centralized point of attack that is a major vulnerability, threatening the security of the entire network. With such an advanced network paradigm, it requires a security system that will mitigate these risks and warrant long-term security. In attempts to allow secure communications within the network, this research proposes the implementation of Quantum Key Distribution (QKD), leveraging quantum mechanics to secure the network against any computational advancements in the future. QKD is a recent cryptographic system that includes a traditional-computational channel and a physical-quantum channel to generate and distribute keys between parties. It uses the principles of quantum mechanics including entanglement and superposition to ensure that the physical layer cannot be compromised computationally. QKD provides confidentiality and privacy of information and communication. Moreover, it is resistant to technological advancements. The implications of QKD significantly enhance SDN security through its protection against attacks, efficient key distribution, reliable network orchestration, and data integrity, creating an architecture that establishes stable communication channels that are resistant to cyber threats.
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.
Abstract The increasing demand for secure communications in mobile and critical infrastructure networks has led to the emergence of Quantum Key Distribution (QKD) as a promising technique for enhancing cryptographic security in next-generation systems. This paper reviews recent progress in integrating QKD within mobile and wireless networks. It focuses on key enabling technologies, such as Software-Defined Networking (SDN), satellite-based, and aerial networks. The paper critically analyzes how these frameworks can address evolving security requirements in sixth-generation (6G) networks and smart city infrastructures. Additionally, it examines the role of Machine Learning (ML) in improving QKD performance and adaptability. Challenges such as key management, mobility support, scalability, and interoperability are explored. These challenges help identify current barriers and research directions. By consolidating developments and highlighting unresolved issues, this study offers researchers valuable insights. It discusses the convergence of quantum communication and advanced mobile architectures, facilitating the design of secure and resilient future communication infrastructures.
Conventional cryptographic algorithms that are widely used in Software-Defined Networking (SDN), cloud computing, and edge computing infrastructures are facing a serious challenge because of the fast development of quantum computing. The traditional public-key cryptography like RSA and Elliptic Curve Cryptography (ECC) is believed to be vulnerable to quantum attacks, which will require quantum-resistant security mechanisms to be adopted. The past few years have seen a focus on incorporating Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), Artificial Intelligence (AI), blockchain, and Zero Trust Architecture (ZTA) into SDN, with the aim of creating secure, programmable, and intelligent communication infrastructures. The paper summarizes the recent progress in post-quantum secure SDN in cloud and edge computing. The study starts by examining how lattice-based cryptographic algorithms like CRYSTALS-Kyber and CRYSTALS-Dilithium can be integrated in SDN controllers and SDN programmable networks. Then, hybrid QKD-PQC architectures for quantum-safe communication are discussed, followed by intelligent SDN architectures based on AI-powered threat detection, blockchain-based trust management, and adaptive cryptographic orchestration. Moreover, the paper reviews recent advances, summarizes research challenges, and points towards scalable, autonomous, and quantum-resistant networking infrastructures for next-generation cloud, IoT, edge and 6G networks and ecosystem