Recently, Internet of Things (IoT) and Blockchain (BC) are coupled to present smart and secure applications. Quantum Computing (QC) is a new paradigm that imposes itself as a main technology in the near future, especially in the 6G era, due to its powerful computations. As a result, immigration of the IoT and BC to the QC has to be studied and prepared. This paper provides a brief review of relevant recent work to identify opportunities for optimal integration. Besides, a new paradigm called Quantum Chain of Things (QCoT) is proposed and its perspective architecture is presented and verified into two parts: (a) BC-IoT using Arduino, and (b) QC-IoT using IBM Qiskit simulator. Finally, presented knowledge such as current challenges, threads, and integration opportunities could help researchers to investigate new trends and future directions.
Recently, Internet of Things (IoT) and Blockchain (BC) are coupled to present smart and secure applications. Quantum Computing (QC) is a new paradigm that imposes itself as a main technology in the near future, especially in the 6G era, due to its powerful computations. As a result, immigration of the IoT and BC to the QC has to be studied and prepared. This paper provides a brief review of relevant recent work to identify opportunities for optimal integration. Besides, a new paradigm called Quantum Chain of Things (QCoT) is proposed and its perspective architecture is presented and verified into two parts: (a) BC-IoT using Arduino, and (b) QC-IoT using IBM Qiskit simulator. Finally, presented knowledge such as current challenges, threads, and integration opportunities could help researchers to investigate new trends and future directions.
The intersection of Quantum Computing (QC) and the Internet of Things (IoT) represents a paradigm shift in meeting the challenges of classical computing for large-scale, data-intensive IoT environments. IoT produces massive streams of data in real-time across several arenas, including healthcare, smart cities and industrial automation. The data produced is confronted with significant data processing, security, and resource utilization challenges. The principles of QC such as superposition and entanglement, provides incomparable computational capabilities, consenting to real-time processing of high-dimensional IoT data, quantum-secure cryptography, and sophisticated optimization methods. While the potential of QC is path-breaking, integration with IoT involves enormous challenges, including scalability, energy efficiency, hybrid architecture, and cost. This paper explains the collaborative prospects of QC-IoT integration, pointing to major challenges and research directions to exploit its capabilities towards greater efficiency, security, and sustainability.
Recent advancements in quantum computing have highlighted the necessity for specialized software to effectively address the unique challenges of quantum systems. The integration of quantum computing with IoT ecosystems, forming the Quantum Internet of Things (QIoT), offers transformative potential across security, efficiency, and computational scalability. This paper presents a review of QIoT architectures, focusing on their core dimensions, including security, blockchain integration, quantum-assisted machine learning, and quality attributes. By synthesizing findings and proposing a structured taxonomy, we address gaps and explore pathways for future research and innovation. The paper aims to serve as a roadmap for researchers and practitioners navigating the complexities of QIoT systems.
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 rapid expansion and inherent resource limitations of Internet of Things (IoT) devices necessitate robust, future-proof security solutions, particularly against sophisticated data integrity threats and the imminent risk of quantum computing attacks. This paper provides a systematic literature review (SLR) of the architectural integration of blockchain with quantum technologies (quantum key distribution (QKD) and post-quantum cryptography (PQC)) for a two-stage trust model in IoT communication. This review summarizes existing methods and answers three key research questions. The results show that permissioned blockchains are primarily used for trust management to ensure the non-repudiation and immutability of data. Notably, there is a clear dividing line in the application of quantum solutions: QKD is particularly suitable for securing high-capacity backbone communications (server gateways), whereas PQC (especially lattice-based algorithms such as Kyber and Dilithium) is the mainstream resource-efficient solution for IoT terminals. However, this integration also has significant drawbacks, such as high latency due to blockchain consensus mechanisms and increased memory and CPU requirements from PQC implementations. The main challenge is the lack of standardized protocols for integrating QKD key management with smart contract functionality. This review provides a comprehensive analysis of current architectures, assesses their performance trade-offs, and outlines a clear research agenda aimed at developing standardized hybrid protocols for future trusted IoT systems and optimizing resource-efficient, quantum-resistant consensus mechanisms.
The rapid convergence of sixth-generation (6G) networks and the Internet of Things (IoT) offers enormous potential for ultra-reliable, low-latency, and massive device connectivity. However, this integration also raises security and privacy concerns, particularly in light of new threats from quantum computing that could undermine traditional cryptography. The architecture of quantum-safe IoT networks that can withstand post-quantum security threats is thoroughly discussed in this review. It addresses the challenges related to how to use blockchain technology to provide decentralized trust as well as secure transactions, how to use post-quantum cryptographic algorithms to protect data confidentiality, and the best way to use a trust management architecture to improve identity verification, authorization, and authentication in the diverse IoT environment. The paper then examines scalability considerations, resource constraints, and interoperability problems that impact safe IoT deployments in the 6G era. This work serves as a roadmap for researchers and practitioners who aim to create robust and future IoT infrastructure and then maintain their security in a post-quantum world by integrating recent research patterns, solution development, and considerations related to real-world implementation.
The Internet of Things (IoT) is a network system that connects physical devices through the Internet, allowing them to interact. Nowadays, IoT has become an integral part of our lives, offering convenience and smart functionality. However, the growing number of IoT devices has brought about a corresponding increase in cybersecurity threats, such as device vulnerabilities, data privacy concerns, and network susceptibilities. Integrating blockchain technology with IoT has proven to be a promising approach to enhance IoT security. Nevertheless, the emergence of quantum computing poses a significant challenge to the security of traditional classical cryptography used in blockchain, potentially exposing it to quantum cyber-attacks. To support the growth of the IoT industry, mitigate quantum threats, and safeguard IoT data, this study proposes a robust blockchain solution for IoT that incorporates both classical and post-quantum security measures. Firstly, we present the Quantum-Enhanced Blockchain Architecture for IoT (QBIoT) to ensure secure data sharing and integrity protection. Secondly, we propose an improved Proof of Authority consensus algorithm called “Proof of Authority with Random Election” (PoARE), implemented within QBIoT for leader selection and new block creation. Thirdly, we develop a public-key quantum signature protocol for transaction verification in the blockchain. Finally, a comprehensive security analysis of QBIoT demonstrates its resilience against cyber threats from both classical and quantum adversaries. In summary, this research introduces an innovative quantum-enhanced blockchain solution to address quantum security concerns within the realm of IoT. The proposed QBIoT framework contributes to the ongoing development of quantum blockchain technology and offers valuable insights for future research on IoT security.