As swarm robotics evolves into a paradigm-shifting approach for distributed autonomous systems, communication vulnerabilities pose risks in hostile environments. Conventional cryptography is limited by decentralized nature, energy constraints, and node density, while quantum computing threatens public-key encryption via Shor's algorithm. This chapter explores Quantum Key Distribution (QKD) and entanglement-based networking for information-theoretic security. We examine mobile quantum networks, highlighting drone-based relays and satellite links. Beyond security, quantum principles like superposition and entanglement can enhance swarm intelligence, task allocation, and coordination. Despite promising validations, hurdles remain: SWaP constraints, atmospheric interference, and mobility-induced decoherence. Through case studies in aerial, maritime, space, and disaster domains, we propose a quantum-native architecture integrating post-quantum cryptography, adaptive PAT systems, and hybrid trust models for mission-critical resilience.
As swarm robotics evolves into a paradigm-shifting approach for distributed autonomous systems, communication vulnerabilities pose risks in hostile environments. Conventional cryptography is limited by decentralized nature, energy constraints, and node density, while quantum computing threatens public-key encryption via Shor's algorithm. This chapter explores Quantum Key Distribution (QKD) and entanglement-based networking for information-theoretic security. We examine mobile quantum networks, highlighting drone-based relays and satellite links. Beyond security, quantum principles like superposition and entanglement can enhance swarm intelligence, task allocation, and coordination. Despite promising validations, hurdles remain: SWaP constraints, atmospheric interference, and mobility-induced decoherence. Through case studies in aerial, maritime, space, and disaster domains, we propose a quantum-native architecture integrating post-quantum cryptography, adaptive PAT systems, and hybrid trust models for mission-critical resilience.
Unmanned Aerial Vehicles (UAVs) have gone from single platforms that were remotely piloted to fully networked, autonomous cyber-physical systems that operate in the civilian, industrial and defense arenas. Their increasing reliance on wireless communication for command and control, cooperative sensing, distributed decision-making and swarm coordination has raised the level of communication security to the point where it has become a mission-critical requirement. Contemporary UAV security architectures are much based on classical public-key–based cryptography (RSA and elliptic are the most well-known) whose security assumptions become fundamentally vulnerable against the presence of large-scale quantum computing. This chapter gives a comprehensive and future-oriented discussion about post-quantum cryptography (PQC)-based security models for UAVs communication and information exchange networks. Quantum resistance should be applied not only at the algorithmic level but across the whole UAV communications trust stack, which is the main argument. Part I set the conceptual and technical ground by affecting a short range of the improvement of UAV communication systems, in articulating a system quantum-era threat model and giving a motivation for mission-adaptive, cross-layer security architectures. The discussion makes the long-term confidentiality, survivability of the system and continuing operation more robust, and the security of UAV with PQC enabled is no longer speculative, but is considered a strategic requirement.
The convergence of quantum computing and space-based communications presents both significant cybersecurity risks and transformative security opportunities for modern space infrastructure. This chapter examines the impact of quantum technologies on space cybersecurity, focusing on the threats posed to classical cryptographic systems by quantum algorithms such as Shor's and Grover's, alongside emerging solutions including quantum key distribution (QKD), post-quantum cryptography (PQC), and quantum-enhanced sensing. A comparative analysis is presented between classical and quantum threats across different orbital environments. The chapter develops a taxonomy of quantum-security mechanisms tailored for space deployment, considering operational constraints such as radiation exposure, communication latency, and size, weight, and power limitations. It further evaluates implementation barriers and proposes a phased adoption roadmap centered on hybrid architectures and crypto-agile systems. A multi-layered defense framework integrating quantum-resistant protocols and adaptive threat detection is proposed to enhance resilience and future-proof space systems against evolving quantum-era cyber threats and operational challenges.
Maritime communication systems face critical challenges in ensuring secure, reliable, and long-range connectivity due to inherent vulnerabilities in traditional encryption, coverage gaps in remote sea areas, and susceptibility to eavesdropping under complex maritime conditions. While Unmanned Aerial Vehicle (UAV)-assisted networks have expanded coverage, security remains a persistent concern. Quantum communication, leveraging quantum key distribution (QKD), offers a paradigm shift by ensuring information-theoretic security. This paper proposes a UAV-based quantum relay maritime communication system that integrates QKD, UAV relays, and satellite networks to establish a hybrid quantum-classical architecture. The innovation lies in deploying UAVs as dynamic relay nodes to enable BB84-protocol-based QKD, while satellites ensure global coverage. Key advancements include: (1) a unidirectional quantum channel design featuring UAV-mounted quantum emitters (Alice) and ship-based receivers (Bob), minimizing technical complexity while ensuring secure key distribution; (2) a multi-layered network integrating ship-UAV-ship, ship-UAV-base station, and ship-satellite communication modes, enhancing resilience against environmental interference; and (3) real-time quantum-classical synergy, where classical data channels (e.g., AES-encrypted) are dynamically secured by QKD-generated keys, achieving compatibility with existing infrastructure while eliminating key leakage risks. Simulations validate the system’s resilience under maritime conditions: optimizing parameters such as detection efficiency (eff > 90%) and dark count (dc < 10⁻⁶/pulse) achieves a stable secure key rate over 100 km, with a Quantum Bit Error Rate (QBER) below 0.5% at 200 km. The proposed architecture offers transformative applications in maritime safety, emergency response, and offshore operations, providing eavesdropping-resistant links for remote vessels and secure data exchange for critical infrastructure. By bridging the gap between quantum security and practical maritime deployment, this work establishes a scalable blueprint for next-generation communication systems in military, commercial, and environmental monitoring domains.
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.
The emergence of sixth-generation (6G) wireless networks introduces unprecedented requirements for ultra-secure, low-latency communication across heterogeneous space–air–ground integrated network (SAGIN). Existing drone communication frameworks including LoRaWAN, Long Term Evolution, and Ad Hoc mesh architectures exhibit critical vulnerabilities to eavesdropping, jamming, and quantum-computational attacks due to their reliance on classical cryptographic primitives. To address these challenges, this work presents the Quantum-Secured Adaptive Routing Algorithm (QSARA), a novel framework designed for 6G-enabled unmanned aerial vehicle (UAV) networks that integrates Quantum Key Distribution (QKD), Reconfigurable Intelligent Surfaces (RIS), and Joint Communication and Sensing (JCAS) to enhance information-theoretic security and real-time performance. The proposed framework employs a quantum-augmented dynamic graph model to represent UAV swarm networking and uses Proximal Policy Optimisation (PPO)-based deep reinforcement learning to optimise routing under adversarial and uncertain conditions. A multi-objective cost function jointly captures classical quality of service metrics, such as latency, bandwidth, and energy consumption alongside with quantum-layer security indicators, including quantum bit error rate, key pool entropy, and key availability. High-fidelity simulations with 500 mobile drones under diverse adversarial threats demonstrate that the proposed framework achieves a key establishment success rate of 96.2%, end-to-end latency of 23.7 milliseconds, energy consumption of 7.8 watt-hours, and a packet delivery ratio of 94.1%, outperforming state-of-the-art classical and quantum-aware baselines. These results position the QSARA as a scalable and quantum-resilient routing solution for mission-critical UAV networking in next-generation 6G smart mobility ecosystems.
Quantum computing advances pose a serious threat to conventional public-key cryptographic systems such as RSA and elliptic curve cryptography as quantum algorithms may undermine the computational assumptions that guaranty their security. This challenge has driven the development of quantumsafe security approaches among which Quantum Key Distribution (QKD) represents a fundamentally different paradigm based on quantum mechanical principles rather than mathematical complexity. This paper presents a structured review of recent progress in QKD based on a systematic analysis of literature between 2020 and 2025, we examine core protocols including discrete-variable, continuous-variable, measurement-deviceindependent, and twin-field approaches, while also discussing their relationship with post-quantum cryptography as a complementary strategy for future secure communication systems. We provide a unified comparison framework to support practical design and policy decisions by organizing protocols and implementations along deployment dimensions. The study analyze theoretical foundations, implementation technologies across fiber, free-space, satellite, and integrated photonic platforms, and key performance trade-offs involving scalability, security robustness, and deployment feasibility. Findings indicate substantial progress in transitioning QKD from laboratory research toward practical implementations, supported by advances in network architectures, integrated hardware and hybrid cryptographic designs. The comparative analysis will highlight distinct strengths and limitations among protocol families and emphasize the potential of combining QKD with post-quantum cryptographic methods to enhance resilience. Remaining challenges including scalability constraints, implementation-level vulnerabilities, performance limitations over long distances, and integration with existing communication infrastructures are critically discussed. Finally, emerging research directions such as quantum repeaters, hybrid quantum-classical security models, and exploratory directions such as artificial intelligence-assisted optimizations are identified as key factors in enabling the evolution of QKD toward largescale quantum-secure networking.