As we approach Web 4.0, which relates to the uprising of internet of things (IoT)-enabled smart manufacturing devices that serve as data generator devices for companies, the responsibility of managing and securing this data is an overhead. Since the data can contain sensitive information, it is vulnerable to cyber-attacks. As advanced encryption-decryption cryptography algorithms are deficient to handle the situation, the uprising of quantum computing is making today's security mechanisms imperiled. Therefore, a quantum wall (QW) needs to be deployed for key generation which can resist potential attacks. Quantum-inspired IoT (QIoT) implies harnessing power imparted by quantum computing (QC) to secure IoT applications. It promises secure management of data throughout its life cycle. This chapter summarizes the recent relevant work conducted in this domain by conducting an intensive literature review around IoT, security implications, and how QC is making an impact in mitigating the cyber risks involved in data transfers in IoT.
As we approach Web 4.0, which relates to the uprising of internet of things (IoT)-enabled smart manufacturing devices that serve as data generator devices for companies, the responsibility of managing and securing this data is an overhead. Since the data can contain sensitive information, it is vulnerable to cyber-attacks. As advanced encryption-decryption cryptography algorithms are deficient to handle the situation, the uprising of quantum computing is making today's security mechanisms imperiled. Therefore, a quantum wall (QW) needs to be deployed for key generation which can resist potential attacks. Quantum-inspired IoT (QIoT) implies harnessing power imparted by quantum computing (QC) to secure IoT applications. It promises secure management of data throughout its life cycle. This chapter summarizes the recent relevant work conducted in this domain by conducting an intensive literature review around IoT, security implications, and how QC is making an impact in mitigating the cyber risks involved in data transfers in IoT.
The rapid advancement of digital technologies, particularly the Internet of Things (IoT) and quantum computing (QC), is reshaping modern military operations by enhancing real-time data collection, autonomous decision-making, and situational awareness. IoT-enabled systems, such as UAVs, battlefield sensors, and smart logistics, provide military forces with operational superiority but also introduce significant cybersecurity risks, including espionage, cyber sabotage, and unauthorized access. The emergence of QC further complicates this landscape, as quantum algorithms can break traditional encryption protocols, threatening the security of military communications and IoT infrastructure. However, quantum technologies also offer revolutionary cybersecurity solutions, such as Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC), which leverage the principles of quantum mechanics to ensure secure communication. Despite these advancements, challenges such as the technological maturity of quantum solutions, high implementation costs, and global competition in quantum research pose obstacles to widespread military adoption. This chapter explores the interplay between QC and military IoT security, addressing both the vulnerabilities of IoT systems and the potential of quantum-enhanced security frameworks. By integrating quantum-safe cryptographic techniques, defence organizations can fortify military IoT infrastructure, mitigate cyber threats, and maintain strategic superiority in an era of increasing digital warfare.
The Internet of Things (IoT) has revolutionized the way devices communicate and interact, enabling seamless integration into various aspects of daily life by billions of connected devices equipped with small, embedded controllers that monitor and manage our increasingly interconnected world. The swift growth of IoT devices has led to significant concerns about data security and privacy. Traditional cryptographic algorithms, usually lightweight cryptography, are effective against classical computing threats. However, they are vulnerable to attacks from emerging quantum computing technologies, which can quickly solve the mathematically hard problems used in classical cryptography. Post-Quantum Cryptography (PQC) offers promising solution by providing cryptographic primitives resistant to quantum attacks. This chapter addresses challenges posed by resource constrained IoT devices, like limited processing power and memory. It also explores the integration of PQC algorithms suitable for IoT environments, considering factors like computational efficiency and resistance to quantum attacks.
This chapter explores the transformative integration of Quantum Computing (QC) with the Internet of Things (IoT), highlighting significant advancements in security, optimization, and intelligent decision-making for cyber-physical systems. It provides a detailed review of quantum-enhanced algorithms, architectures, and sensing technologies designed for IoT ecosystems. Addressing the limitations of traditional methods in large-scale computation, network optimization, data analytics, and security, the chapter emphasizes core quantum concepts, i.e., superposition, entanglement, and interference. Techniques, including quantum annealing and the QAOA, enable efficient resource allocation, scheduling, and routing in emerging infrastructures like 6G and UAV networks. The use of hybrid quantum–classical models is examined for fault detection, cryptographic key generation, and real-time analytics across edge-to-cloud environments. QML has been shown to enhance adaptive learning and pattern recognition on resource-limited devices. To counter emerging cyber threats, quantum-resilient security solutions, including post-quantum cryptography, quantum random number generation, and quantum key distribution, are discussed. The chapter also highlights quantum sensors that utilize tunnelling, spin dynamics, and interference for applications in biomedical diagnostics, environmental monitoring, infrastructure evaluation, and autonomous navigation. Emerging use cases, including quantum-powered digital marketing and quantum-secured smart locks, are introduced. The chapter concludes by underscoring the transformative role of scalable hybrid QC–IoT architectures, which are poised to advance edge intelligence, smart infrastructure, healthcare, and logistics, while opening new directions for research and real-world deployment.
The Internet of Things (IoT) has grown rapidly, transforming various aspects of daily life into intelligent systems capable of collecting and exchanging data in real time. At the same time, advances in quantum computing have given rise to powerful quantum computers capable of processing complex tasks at unprecedented speed. This disparity between the limited resources of IoT devices and the capabilities of quantum computers poses significant security challenges. Quantum computers introduce new vulnerabilities that threaten IoT systems, particularly in critical applications such as connected healthcare, industrial networks, smart infrastructure, and secure embedded systems. This study reviews the existing literature on post-quantum cryptography (PQC) applied to IoT devices. It analyzes the characteristics and security requirements of IoT environments, current security technologies, and unresolved issues. It highlights the growing threat of post-quantum attacks and the need to adapt security strategies. Finally, the study explores post-quantum code-based cryptosystems as solutions to enhance the security of resource-constrained IoT applications and ensure their resilience against future challenges.
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 incorporation of quantum computing within the framework of the Internet of Things (IoT) signifies a fundamental transformation in the realm of data processing and security pertaining to interconnected devices. This study examines the profound influence of quantum computing on IoT, with a specific emphasis on its capacity to fundamentally alter data management practices and bolster security protocols. Quantum computing, renowned for its remarkable capacity to execute intricate computations at unparalleled velocities, presents notable strides in computational capability and effectiveness. The significance of this matter is particularly pronounced within IoT environment, because a multitude of devices collect and exchange substantial volumes of data. This study explores the utilization of quantum algorithms for the efficient processing, analysis, and security of data, specifically focusing on the challenges faced by classical computing in managing the vast scale and intricate nature of IoT networks. Furthermore, this paper examines the distinctive features of quantum cryptography, which offer resilient security measures against growing cyber threats. This is a crucial factor within the context of IoT environment. This study also investigates the obstacles and possible remedies involved in the integration of quantum computing with IoT devices, encompassing constraints related to hardware and scalability. This detailed analysis elucidates the potential for quantum computing to bring about transformation in the realm of IoT networks, hence augmenting their capabilities and security. Consequently, this development paves the way for the emergence of more advanced, efficient, and secures linked devices across diverse sectors. To proposed the algorithm with the combination of adiabatic quantum computing (AQC) and quantum key distribution (QKD).