Quantum computing represents the quantum mechanical concept, may have important benefits over the traditional computing. This benefit of quantum computing offers solutions to numerous challenges in secure communication and banking that were previously intractable. The Internet of Things (IoT) is a new technology which works with a large amount of data. Securing IoT data communication is necessary. Cryptographic algorithms like RSA and ECC are the foundation of the IoT security architecture that is now in place. These algorithms’ security was significantly impacted by quantum computing. As a result, our research examines the security issues with quantum-based technologies and IoT smart applications. This article offers an overview of the foundations of quantum computing and how it affects the security of IoT devices. This work intends to present a comprehensive view of IoT communication facilitated by quantum technology. In our work, we also analyse the main obstacles to deploying quantum-enabled communication.
Quantum computing represents the quantum mechanical concept, may have important benefits over the traditional computing. This benefit of quantum computing offers solutions to numerous challenges in secure communication and banking that were previously intractable. The Internet of Things (IoT) is a new technology which works with a large amount of data. Securing IoT data communication is necessary. Cryptographic algorithms like RSA and ECC are the foundation of the IoT security architecture that is now in place. These algorithms’ security was significantly impacted by quantum computing. As a result, our research examines the security issues with quantum-based technologies and IoT smart applications. This article offers an overview of the foundations of quantum computing and how it affects the security of IoT devices. This work intends to present a comprehensive view of IoT communication facilitated by quantum technology. In our work, we also analyse the main obstacles to deploying quantum-enabled communication.
Quantum computing, based on quantum mechanical principle, can potentially provide significant advantages over classical computing. This advantage of quantum computing provides solutions to many previously unsolvable problems in secure communication and finance. IoT is an emerging technology that deals with a large amount of data. The data communicated in IoT need to be secured. The existing security architecture of IoT is based on cryptographic algorithms such as RSA and ECC. Quantum computing had a significant impact on the security of these algorithms. Therefore, our work analyses the security concerns of IoT smart applications and quantum-based solutions. This article provides a survey of quantum computing fundamentals and the impact of quantum computing on IoT security. Thus, this paper aims to provide a wide view of quantum-enabled IoT communication. The main challenges in implementing quantum-enabled communication are also analyzed in our work.
The extensive use of Internet of Things (IoT) technology has transformed sectors including healthcare, smart urban development, manufacturing, and domestic automation. Despite these advancements, the surge in IoT applications has brought about significant security challenges, threatening data confidentiality, integrity, and availability. Conventional security solutions often fall short in addressing the unique constraints of IoT environments, including limited computational power, system diversity, and scalability demands. This paper presents A comprehensive examination of the security issues associated with Internet of Things (IoT) systems, emphasizing key protective strategies and the emerging role of quantum computing. It discusses core security requirements for IoT ecosystems and investigates how technologies like Quantum Key Distribution (QKD) and Post-Quantum Cryptography can bolster defenses. The study seeks to support the design of robust IoT systems capable of addressing present and future security threats.
The imminent arrival of quantum computing presents unprecedented challenges to Internet of Things (IoT) security, threatening to compromise the cryptographic protocols that safeguard billions of connected devices worldwide. This article examines the critical intersection of quantum computing capabilities and IoT vulnerabilities, with particular emphasis on resource-constrained devices, heterogeneous networks, and legacy system integration. This article presents a comprehensive framework for implementing quantum-resistant security measures in IoT environments, introducing a hybrid approach that combines lightweight quantum-resistant algorithms with modular architecture design. This article demonstrates traditional encryption methods like RSA and ECC remain vulnerable to quantum attacks; strategic implementation of lattice-based and hash-based cryptography can provide robust protection without overwhelming device resources. This article also addresses practical considerations for industry adoption, including development lifecycle integration, governance frameworks, and compliance requirements. Through examination of real-world implementation scenarios, this article establishes a successful quantum-resistant IoT security required for a balanced approach between immediate protective measures and long-term strategic planning, providing organizations with actionable guidelines for securing their IoT infrastructure against quantum threats.
The Internet of Things (IoT) has rapidly transformed industries by enabling the interconnectivity of devices and the real-time exchange of data. However, as IoT networks continue to scale, the limitations of traditional edge and cloud computing architectures—such as latency, security concerns, and scalability challenges—become more pronounced. This article explores the emerging role of quantum computing in addressing these challenges and advancing the evolution of edge and cloud solutions for IoT systems. By leveraging the unique capabilities of quantum computing, including superposition, entanglement, and quantum parallelism, IoT systems can achieve enhanced data processing speeds, improved security, and more efficient resource management. This article discusses the potential benefits of integrating quantum computing with edge and cloud infrastructures, focusing on use cases in real-time analytics, secure communication, and advanced machine learning for IoT applications. Additionally, it examines the technical, ethical, and regulatory challenges that need to be addressed for the successful deployment of quantum-edge cloud solutions. Finally, the article highlights the importance of collaboration between academia, industry, and policymakers to drive the development of quantum-enabled IoT systems. The findings suggest that quantum computing will play a pivotal role in the next generation of IoT infrastructure, unlocking new possibilities for smarter, more responsive, and secure IoT ecosystems.
Quantum computing is poised to radically transform the computing landscape by offering new methods to manipulate and process information. While the technology is not yet ready for widespread deployment, it is rapidly maturing, as evidenced by the exponential growth in quantum computing power and an expanding body of research. Consequently, investigating the implications of quantum computing for the Internet of Things is particularly timely. This article addresses these pressing questions by analysing the potential impacts of quantum computing on IoT, identifying key challenges, and discussing how quantum technologies can enhance various layers of IoT architecture. Our goal is to provide a comprehensive overview of the benefits and challenges of integrating QC with IoT, while establishing a strategic research roadmap for the seamless adoption of quantum computing within IoT environments.
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.