The rapid evolution of wireless surgical ecosystems, driven by 5G/6G networks, autonomous robotics, AI-assisted decision systems, created unprecedented opportunities for precision medicine. Advancements introduce critical cybersecurity vulnerabilities, especially as emerging quantum computing capabilities threaten to break classical cryptographic foundations. The research examines a holistic framework for securing next-generation surgical environments through post-quantum cryptography, zero-trust architectures, authenticated robotic control channels, and ultra-reliable low-latency communication (URLLC) safeguards. Unlike traditional security evaluations, work integrates empirical findings from contemporary surgical robotics, NIST The chapter emphasizes resilience against quantum-enabled attacks, interoperability challenges in mixed-vendor operating rooms, and the need for continuous cryptographic agility. The result provides a robust foundation for future autonomous surgical platforms where safety, accuracy, and security must coexist within tightly constrained latency margins.
The rapid evolution of wireless surgical ecosystems, driven by 5G/6G networks, autonomous robotics, AI-assisted decision systems, created unprecedented opportunities for precision medicine. Advancements introduce critical cybersecurity vulnerabilities, especially as emerging quantum computing capabilities threaten to break classical cryptographic foundations. The research examines a holistic framework for securing next-generation surgical environments through post-quantum cryptography, zero-trust architectures, authenticated robotic control channels, and ultra-reliable low-latency communication (URLLC) safeguards. Unlike traditional security evaluations, work integrates empirical findings from contemporary surgical robotics, NIST The chapter emphasizes resilience against quantum-enabled attacks, interoperability challenges in mixed-vendor operating rooms, and the need for continuous cryptographic agility. The result provides a robust foundation for future autonomous surgical platforms where safety, accuracy, and security must coexist within tightly constrained latency margins.
Abstract The next generation of telesurgery demands quantum-resilient, ultra-low latency, and highly secure distributed AI frameworks capable of functioning across heterogeneous clinical sites. Building on prior federated learning-based telesurgery frameworks, this research introduces a Quantum-Enhanced Chaotic Gated Transformer Learning (Q-CGTL) architecture designed for real-time, multi-site surgical procedures in 6G-enabled smart hospital environments. The framework integrates (i) quantum random number generators (QRNGs) for entropy-rich key generation in the chaotic encryption layer, (ii) multi-head chaotic gated transformer (CGT) models optimized for multi-modal data streams (haptics, imaging, vitals), and (iii) 6G spectrum slicing with AI-driven latency control, reducing end-to-end feedback latency to under 1 ms. Additionally, a cross-institutional federated transfer learning module enables privacy-preserving model sharing without raw data exposure. Extensive evaluations using a synthetic Surgical Digital Twin dataset and the CIC-IDS-2023 cyber-attack dataset demonstrate a 99.4% intrusion detection accuracy, a 35% reduction in energy consumption, and near-zero packet loss under adversarial conditions. Statistical security assessments, including NIST entropy tests and post-quantum cryptographic analysis, confirm the robustness of the proposed system against quantum adversaries. This research represents a pivotal advancement towards autonomous, secure, and explainable telesurgery ecosystems capable of scaling across global clinical networks.
Next-generation communication technologies such as fifth-generation (5G) wireless telecommunications systems enable the expansion of digital connectivity across commercial, industrial, and national infrastructure; as a result, an explosive increase in the use of the Internet of Things (IoT). In these highly distributed, autonomous environments, secure, scalable, and interoperable identity management systems are needed to provide authentication, authorization, and access control (AAA) for billions of devices and users. Centralized identity management frameworks have critical vulnerabilities due to their reliance on centralized architectures and traditional cryptographic algorithms. Vulnerabilities include susceptibility to quantum attacks, single points of failure, and cross-domain interoperability issues. Post-Quantum Cryptography (PQC) provides quantum-resilient security and Identity Mesh Architectures (IMAs) create decentralized and distributed identity management frameworks that support autonomous and cross-domain deployments. This paper presents a comprehensive analysis of PQC-IMAs through an examination of PQC, the IMA, security implications, deployment challenges, and future research directions. PQC-IMA integration allows for the creation of identity management systems that remain secure, resilient, and fault-tolerant when deployed in nationwide, large-scale 5G telecommunications networks and IoT systems. The solutions described in this paper can meet the challenges posed by the emerging Quantum Era and achieve operational efficiencies in connection ecosystems that are growing more and more complex and interconnected.
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 rapid evolution of 5G and emerging 6G telecom networks introduces new security challenges due to the potential threat posed by quantum computing to conventional cryptographic algorithms. This study proposes a post-quantum cryptographic framework for protecting critical 5G and 6G telecom infrastructure against quantum-enabled attacks. The framework investigates quantum-resistant cryptographic mechanisms for secure key establishment, authentication, data confidentiality, and communication integrity. Performance is evaluated using key size, encryption and decryption time, computational overhead, latency, and throughput. The proposed approach aims to achieve a balance between quantum resistance and network efficiency, providing a scalable and resilient security solution for next-generation wireless communication environments.
The rapid evolution of autonomous surgical robotics necessitates intelligent decision-making systems capable of operating under strict real-time, safety-critical, and energy-constrained environments. Contemporary surgical AI predominantly relies on large-scale deep learning models deployed on power-intensive computing platforms, raising concerns regarding sustainability and environmental impact. This chapter introduces the concept of Green Quantum Architectures, an emerging interdisciplinary framework integrating quantum computing, energy-aware system design, and surgical artificial intelligence to enable sustainable and high-precision autonomous robotic surgery. The chapter examines how quantum-enhanced computation, hybrid quantum classical learning models, and energy-efficient hardware–software co-design can significantly reduce computational overhead and carbon footprint. A unified architectural vision is presented, wherein quantum machine learning accelerates complex optimization tasks such as surgical path planning, uncertainty modeling.
Mobile communication networks are becoming more ubiquitous than ever and are rapidly evolving with increasing adoption beyond traditional services such as voice and data. With 5G and emerging 6G standards, wireless communication networks are expected to play a critical role in various domains including AI-enabled services, robotics, industrial automation, and human critical services. In this context, ensuring the security of mobile networks through a security-first design approach is paramount. Current classical cryptosystems in communication networks rely on asymmetric key cryptography, which is vulnerable to attacks by adversaries equipped with quantum computing capabilities. To address this, solutions such as Post-Quantum Cryptography (PQC) algorithms standardized by National Institute of Standards and Technology (NIST) and hybrid approaches combining traditional and PQC algorithms have been proposed. The integration of these solutions into future communication systems such as advanced 5G and 6G is crucial to safeguard against quantum threats. Let’s explore how such an integrated network architecture can be envisioned, the impact on various 3GPP (3rdGeneration Partnership Project) procedures that currently use asymmetric cryptography, the transition from hybrid to standalone approaches to replace them, and the key challenges and considerations that must be addressed during this adoption process.