The object of research: Security architecture of heterogeneous 6G communication networks integrating terrestrial-aerial-space, characterized by intensive use of network function virtualization and software-defined technologies. Investigated problem: The investigated problem concerns the significant expansion of the attack surface in 6G networks caused by architectural heterogeneity, virtualization, and the emergence of large-scale quantum computing. Classical cryptographic and security mechanisms employed in previous generations of communication networks are no longer sufficient to counter advanced threats, including quantum-enabled attacks and the “Save Now, Decrypt Later” (SNDL) paradigm. The main scientific results: The research proposes an intelligent multi-layer security framework for 6G networks based on the synergistic integration of post-quantum cryptography (PQC) and artificial intelligence technologies. PQC mechanisms ensure long-term confidentiality and integrity of transmitted data in the presence of quantum adversaries, while artificial intelligence–driven modules enable proactive anomaly detection, behavioral analysis, and adaptive security management. The research substantiates the feasibility of creating an autonomous, self-learning, quantum-resistant security framework capable of dynamically responding to evolving cyber threats in strategic 6G telecommunication systems. The area of practical use of the research results: The research results can be applied to the design and deployment of secure 6G communication infrastructures, including critical telecommunication systems, virtualized network environments, satellite–terrestrial integrated networks, and future smart and mission-critical services. Innovative technological product: The innovative technological product presented in this research is an intelligent multi-layer quantum-secure security framework that combines post-quantum cryptographic primitives with artificial intelligence–based security orchestration and analytics. Scope of the innovative technological product: The proposed framework is universal in scope and can be adapted to a wide range of 6G use cases, including ultra-reliable low-latency communications, massive machine-type communications, integrated terrestrial–aerial–space networks, and critical infrastructure protection
The object of research: Security architecture of heterogeneous 6G communication networks integrating terrestrial-aerial-space, characterized by intensive use of network function virtualization and software-defined technologies. Investigated problem: The investigated problem concerns the significant expansion of the attack surface in 6G networks caused by architectural heterogeneity, virtualization, and the emergence of large-scale quantum computing. Classical cryptographic and security mechanisms employed in previous generations of communication networks are no longer sufficient to counter advanced threats, including quantum-enabled attacks and the “Save Now, Decrypt Later” (SNDL) paradigm. The main scientific results: The research proposes an intelligent multi-layer security framework for 6G networks based on the synergistic integration of post-quantum cryptography (PQC) and artificial intelligence technologies. PQC mechanisms ensure long-term confidentiality and integrity of transmitted data in the presence of quantum adversaries, while artificial intelligence–driven modules enable proactive anomaly detection, behavioral analysis, and adaptive security management. The research substantiates the feasibility of creating an autonomous, self-learning, quantum-resistant security framework capable of dynamically responding to evolving cyber threats in strategic 6G telecommunication systems. The area of practical use of the research results: The research results can be applied to the design and deployment of secure 6G communication infrastructures, including critical telecommunication systems, virtualized network environments, satellite–terrestrial integrated networks, and future smart and mission-critical services. Innovative technological product: The innovative technological product presented in this research is an intelligent multi-layer quantum-secure security framework that combines post-quantum cryptographic primitives with artificial intelligence–based security orchestration and analytics. Scope of the innovative technological product: The proposed framework is universal in scope and can be adapted to a wide range of 6G use cases, including ultra-reliable low-latency communications, massive machine-type communications, integrated terrestrial–aerial–space networks, and critical infrastructure protection
As we move toward the rollout of 6G networks, we're stepping into an era of groundbreaking technological advancements. These next-generation networks promise ultra-low latency and seamless integration with artificial intelligence (AI) and the Internet of Things (IoT), unlocking a new level of connectivity and performance. However, with these powerful capabilities come significant security challenges. Traditional encryption methods may not be enough to protect the complex and highly sensitive data traveling through 6G networks. One of the most promising solutions lies in Quantum Communication, particularly Quantum Key Distribution (QKD)-a method that leverages the laws of quantum mechanics to enable highly secure encryption. This paper explores the emerging security risks in both terrestrial and satellite communication channels and reviews current research on integrating quantum communication into 6G infrastructure. Special attention is given to its potential within the metaverse, a rapidly evolving digital environment that demands robust and future-proof security frameworks. Key areas of focus include-Addressing security vulnerabilities in quantum communication, Enhancing infrastructure to support quantum technologies, Reducing error rates in quantum protocols. the paper aims to propose a flexible, forward-looking framework designed to ensure fast, secure communication for critical sectors such as finance, defense, and healthcare.
The rapid evolution of communication networks, driven by the expansion of heterogeneous environments such as 6G, Internet of Things (IoT), and edge computing, has exposed a critical research gap in the lack of unified frameworks that jointly address intelligent network control and quantum-resilient security. Existing networking protocols were originally designed under static configurations and classical security assumptions, making them increasingly inadequate for dynamic, large-scale, and intelligent infrastructures exposed to quantum-enabled threats. At the same time, the emergence of Quantum Computing (QC) introduces severe security risks, as widely used cryptographic mechanisms supporting protocols such as Transport Layer Security (TLS) and Internet Protocol Security (IPsec) become vulnerable to quantum attacks. This paper presents a structured survey based on a systematic classification of recent literature across AI-enabled networking, Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), and protocol-level integration approaches. The review categorizes existing works into AI-driven network optimization, quantum-resilient security mechanisms, and hybrid AI–QRC architectural frameworks, enabling a unified comparison of design strategies and deployment models. Furthermore, this survey analyzes how Artificial Intelligence (AI) techniques enable autonomous network operations while Quantum-Resilient Cryptography (QRC) approaches provide post-quantum security guarantees, highlighting their complementary roles in next-generation network design. The study further synthesizes key findings for a tightly coupled AI–QRC co-design, which remains an open challenge due to mismatched assumptions in control latency, cryptographic overhead, and protocol adaptability. Additionally, this review emphasizes the need for integrated frameworks that combine intelligence and quantum security to develop adaptive, scalable, and resilient network protocols for the post-quantum era.
The rapid advancement of quantum computing poses a significant threat to the confidentiality and integrity of classified and defense communications. Quantum algorithms have the potential to undermine widely deployed public key cryptographic schemes, exposing sensitive military and governmental information to interception and decryption. Foundational work in quantum cryptography has demonstrated that the principles of quantum mechanics can be leveraged to achieve fundamentally secure key distribution, offering a promising countermeasure to quantum-enabled attacks (Bennett & Brassard, 2014; Ekert, 1991). As defense communication systems increasingly rely on longterm data confidentiality, the urgency of transitioning toward quantum-resilient security architectures has become a strategic priority. Despite their widespread adoption, classical cryptographic mechanisms are increasingly vulnerable in the post-quantum era. Studies on post-quantum cryptography have shown that many conventional encryption and key exchange algorithms are susceptible to quantum adversaries, necessitating the development and standardization of new cryptographic primitives (Chen et al., 2016). Ongoing standardization efforts further highlight the complexity of migrating large-scale, mission-critical systems to quantum-safe solutions, particularly within defense environments where interoperability, reliability, and assurance requirements are stringent (Alagic et al., 2025). In parallel, artificial intelligence has emerged as a powerful enabler of advanced security analytics. Machine learning and deep learning techniques enhance intrusion detection, anomaly identification, and adaptive response capabilities within complex communication infrastructures (Buczak & Guven, 2016). Recent research also demonstrates that AI can be applied directly within quantum cryptographic systems, for example by improving signal processing, error correction, and performance optimization in quantum key distribution implementations (Chin et al., 2021). The convergence of quantum cryptography and AIdriven analytics therefore offers a complementary and proactive approach to securing defense communications against both classical and quantum threats. This paper analyzes the integration of quantum cryptography and artificial intelligence as a unified framework for protecting classified and defense communications. It synthesizes advances in quantum key distribution, post-quantum cryptography, and AI-based security analytics, and proposes an integrated perspective that enhances resilience, detection capability, and operational robustness. The study highlights key implications for defense communication systems, emphasizing how AI-enhanced quantum security architectures can support long-term confidentiality, adaptive defense, and strategic cyber resilience in the evolving threat landscape (Sarker et al., 2021).
The evolution from 5G to 6G wireless networks is driving a fundamental transformation in encryption technologies. While 5G networks primarily rely on advanced classical cryptography, including AES, ECC, and RSA, emerging applications such as IoT, e-healthcare, and ultra-reliable low-latency communications demand lightweight, hybrid, and context-aware security schemes. The advent of quantum computing poses significant threats to classical cryptosystems, motivating the integration of quantum-resistant security techniques, including post-quantum cryptography (PQC), quantum key distribution (QKD), and physical layer security (PLS) in 6G networks. This review synthesizes recent research on classical, hybrid, and quantum-resistant security techniques, highlighting the shift toward multi-layered and adaptive security frameworks. A comparative analysis of PLS in 5G and 6G illustrates its transition from a complementary role to a core security mechanism, especially in ultra-low-latency, massive connectivity, and heterogeneous environments. Finally, open research questions and standardization challenges are discussed, emphasizing the need for scalable, energy-efficient, and interoperable security solutions for next-generation wireless networks.
Future 6G-enabled smart hospital infrastructures will support latency-critical medical operations such as robotic surgery, autonomous monitoring, and real-time clinical decision systems, which require communication mechanisms that ensure both ultra-low latency and long-term cryptographic security. Existing security solutions either rely on classical cryptographic protocols that are vulnerable to quantum attacks or deploy isolated post-quantum primitives without providing a unified framework for secure real-time medical command transmission. This research presents a latency-aware, multi-layered post-quantum security architecture for 6G-enabled smart hospital environments. The proposed framework establishes an end-to-end secure command transmission pipeline that integrates hardware-rooted device authentication, post-quantum key establishment, hybrid payload protection, dynamic access enforcement, and tamper-evident auditing within a coherent system design. In contrast to existing approaches that focus on individual security mechanisms, the architecture introduces a structured integration of Kyber-based key encapsulation and Dilithium digital signatures with hybrid AES-based encryption and legacy-compatible key transport, while Physical Unclonable Function authentication provides hardware-bound device identity verification. Zero Trust access control, metadata-driven anomaly detection, and blockchain-style audit logging provide continuous verification and traceability, while threshold cryptography distributes cryptographic authority to eliminate single points of compromise. The proposed architecture is evaluated using a discrete-event simulation framework representing adversarial conditions in realistic 6G medical communication scenarios, including replay attacks, payload manipulation, and key corruption attempts. Experimental results demonstrate improved security and operational efficiency, achieving a 48% reduction in detection latency, a 68% reduction in false-positive anomaly detection rate, and a 39% improvement in end-to-end round-trip latency compared to conventional RSA-AES-based architectures. These results demonstrate that the proposed framework provides a practical and scalable approach for achieving post-quantum secure and low-latency command transmission in next-generation 6G smart hospital systems.
The advent of next-generation networks, epitomized by Sixth-Generation (6G) wireless systems, signifies a paradigm shift from the simplistic goal of connectivity to a complex ecosystem defined by the convergence of the physical, digital, and biological worlds. This transition, characterized by hyper-density, extreme heterogeneity, and the integration of novel paradigms like terahertz (THz) communications, reconfigurable intelligent surfaces (RIS), and non-terrestrial networks (NTN), fundamentally invalidates many of the security assumptions of previous generations. The very characteristics that enable unprecedented data rates, ultra-low latency, and massive machine-type communications—such as massive Multiple-Input Multiple-Output (MIMO), distributed ledger technologies, and artificial intelligence (AI)-driven network slicing—also expand the attack surface, introducing novel vulnerabilities ranging from intelligent jamming and eavesdropping in the physical layer to sophisticated adversarial attacks on AI-based network management functions. This article provides a comprehensive exploration of secure transmission techniques designed for this nascent landscape. It moves beyond the traditional paradigm of cryptography-as-an-overlay to advocate for a holistic, interdisciplinary approach where security is embedded as a foundational property across all protocol layers. The discussion commences with a critical re-evaluation of the evolving threat landscape, identifying key vulnerabilities unique to next-generation architectures. Subsequently, it delves into advanced physical layer security (PLS) techniques, demonstrating how the intrinsic randomness of the wireless channel can be leveraged for secret key generation and covert communications, particularly in the context of massive MIMO and THz bands. The narrative then transitions to the cryptographic layer, examining the imperative shift towards post-quantum cryptography (PQC) to counter the looming threat of quantum decryption, alongside the role of blockchain and distributed ledgers in establishing decentralized trust in a network devoid of fixed infrastructure. A significant portion of the article is dedicated to AI-native security, exploring both the potential of AI to create autonomous, self-healing security mechanisms and the critical vulnerabilities introduced by adversarial machine learning. The analysis culminates in an examination of securing the network’s foundational pillars, including the integrity of network slicing, the resilience of the Radio Access Network (RAN), and the security of non-terrestrial components. This article concludes that the security of next-generation networks is not merely a technical challenge but a foundational requirement for the socio-economic viability of a hyper-connected future, necessitating a continuous, adaptive, and unified security architecture that evolves in lockstep with the network itself.