The Internet of Things (IoT) is expanding swiftly, offering ease in everyday life. As the IoT systems produce enormous volumes of data, frequently encompassing private and confidential information, it is imperative to ensure their security. To ensure the security in IoT systems, we present a blockchain-enabled data encryption scheme utilizing quantum computing. This consensus mechanism eliminates the need for outside central service providers and encrypts data and accumulates converted cipher-text using consensus nodes acting as proxy service nodes. This approach alleviates the constraints associated with storing and sharing private encrypted information securely over a decentralized network. The suggested protocol possesses security attributes to counter replay attacks, side-channel attacks, Sybil attacks, and eavesdropping attacks, while mitigating tampering risks through targeted verification. Experimental results demonstrate an accuracy rate of 93.33%, with any discrepancies attributed to quantum device errors. The proposed protocol combines quantum encryption and blockchain-based security to create a scalable, decentralized, and resilient framework for securing IoT data sharing.
The Internet of Things (IoT) is expanding swiftly, offering ease in everyday life. As the IoT systems produce enormous volumes of data, frequently encompassing private and confidential information, it is imperative to ensure their security. To ensure the security in IoT systems, we present a blockchain-enabled data encryption scheme utilizing quantum computing. This consensus mechanism eliminates the need for outside central service providers and encrypts data and accumulates converted cipher-text using consensus nodes acting as proxy service nodes. This approach alleviates the constraints associated with storing and sharing private encrypted information securely over a decentralized network. The suggested protocol possesses security attributes to counter replay attacks, side-channel attacks, Sybil attacks, and eavesdropping attacks, while mitigating tampering risks through targeted verification. Experimental results demonstrate an accuracy rate of 93.33%, with any discrepancies attributed to quantum device errors. The proposed protocol combines quantum encryption and blockchain-based security to create a scalable, decentralized, and resilient framework for securing IoT data sharing.
The fast growth of the Internet of Things (IoT) has posed considerable problems regarding the security, scalability, and effective co-ordination of resources between interdependent devices. The conventional centralized solutions have failed to manage the active and decentralized nature of IoT environments. Blockchain technology also proposes a secure and decentralized model of data management, but it is based on classical cryptography methods that are susceptible to new attacks by quantum computers. The need to develop quantum-resistant security mechanisms is noted by the development of quantum algorithms by Peter Shor and Lov Grover. The present paper introduces a proposal of Adaptive Quantum Blockchain based on the Framework of Secure IoT Resource Coordination which combines quantum cryptography, blockchain technology, and adaptive optimization methods. The suggested system is based on quantum-secure encryption techniques to improve the protection of data, whereas blockchain provides decentralization and transparency. Moreover, adaptive algorithms allow allocating resources dynamically and effectively manage the IoT networks. The architecture will enhance security, scalability, and performance in complicated IoT settings. The suggested solution offers a solid solution to next generation intelligent and secure distributed systems.
The rapid proliferation of Consumer-Centric Internet of Things (CCIoT) devices has resulted in massive volumes of data being generated and transmitted across edge and cloud infrastructures. However, limited computational and memory resources, coupled with the vulnerabilities of open communication networks, expose CCIoT ecosystems to severe security threats. With the advent of quantum computing, traditional cryptographic schemes risk becoming obsolete, necessitating the integration of quantum cryptography into edge-assisted CCIoT protocols. In this paper, we propose a blockchain-enabled quantum-designated verifier signature protocol designed to ensure secure data transmission and storage within CCIoT networks. The protocol leverages a private blockchain, where peer nodes generate blocks from service-provider data, thereby enhancing confidentiality and integrity. Informal security verification and informal analysis confirm the robustness of the scheme against both classical and quantum adversaries. Extensive experiments, implemented in Python, evaluate the proposed quantum signature protocol theoretically and practically. The results demonstrate strong encryption performance, achieving a computational cost of 41.5 ms and communication overhead of 834 bits, outperforming recent benchmark schemes. The findings highlight the superior reliability, scalability, and efficiency of our approach, offering a viable quantum security solution for future CCIoT ecosystems.
Touch Healthcare (ZTH) in the 6G era envisions fully autonomous, intelligent, and secure healthcare systems enabled by IoT, quantum communication, and decentralized cloud infrastructures. As IoT devices proliferate in smart healthcare, they generate vast volumes of sensitive physiological data, requiring robust, scalable, and future-proof protection mechanisms. This paper presents a Quantum-Secured Hybrid Encryption Framework empowered by blockchain and Zero-Touch principles to ensure end-to-end confidentiality, integrity, and trust. The framework integrates a trusted authority for access control, quantum key controllers for cryptographic key generation, and secure data vaults for encrypted storage. Blockchain-enabled consensus nodes function as proxy service nodes, eliminating reliance on centralized service providers while securely managing cipher-text transactions in a distributed manner. The proposed system resists replay, side-channel, Sybil, and eavesdropping attacks and minimizes tampering risks through targeted quantum-based verification. Simulated results demonstrate a 93.33% accuracy rate, with discrepancies primarily caused by quantum device noise. By combining quantum encryption and blockchain within an AI-driven Zero-Touch architecture, this framework establishes a secure, decentralized, and resilient model for next-generation healthcare data sharing over 6G networks. Zero-Touch Healthcare (ZTH) in the 6G era envisions fully autonomous, intelligent, and secure healthcare systems enabled by IoT, quantum communication, and decentralized cloud infrastructures. As IoT devices proliferate in smart healthcare, they generate vast volumes of sensitive physiological data, requiring robust, scalable, and future-proof protection mechanisms. This paper presents a Quantum-Secured Hybrid Encryption Framework empowered by blockchain and Zero-Touch principles to ensure end-to-end confidentiality, integrity, and trust. The framework integrates a trusted authority for access control, quantum key controllers for cryptographic key generation, and secure data vaults for encrypted storage. Blockchain-enabled consensus nodes function as proxy service nodes, eliminating reliance on centralized service providers while securely managing cipher-text transactions in a distributed manner. The proposed system resists replay, side-channel, Sybil, and eavesdropping attacks and minimizes tampering risks through targeted quantum-based verification. Simulated results demonstrate a 93.33% accuracy rate, with discrepancies primarily caused by quantum device noise. By combining quantum encryption and blockchain within an AI-driven Zero-Touch architecture, this framework establishes a secure, decentralized, and resilient model for next-generation healthcare data sharing over 6G networks.
With the rapid expansion of intelligent devices in the Internet of Things (IoT), ensuring secure and autonomous communication has become increasingly critical. This paper presents a quantum-assisted encryption framework that safeguards between users and IoT devices. By combining quantum cryptographic primitives with blockchain-based identity verification, the scheme achieves confidentiality, authenticity, and resistance to quantum-era threats. Experimental implementation on a real quantum backend validates its feasibility and demonstrates high fidelity and communication efficiency, highlighting its suitability for real-time IoT environments. This work provides a step toward integrating quantum technologies with practical IoT security frameworks under current technological constraints.
With the growing Internet of Things (IoT), many applications like traffic management, smart cities, environment monitoring, industrial automation and healthcare have been revolutionized. As the number of resourcelimited IoT devices grows and connects with each other, security issues have become more intricate and severe, such as unauthorized access, data tampering, replay attacks, and the rise in threat from quantum computing to traditional cryptographic methods. To solve those problems, this paper proposes Quantum Shield-IoT, which is a quantum-resilient hybrid security framework that combines the Quantum Key Distribution (QKD) protocol of BB84 with ASCON lightweight authenticated encryption, blockchain security, and cloud computing to ensure secure end-to-end data transmission in IoT. The BB84 protocol works both to generate quantum secure cryptographic keys, and to identify eavesdropping via Quantum Bit Error Rate (QBER) analysis. The generated keys are used by ASCON-128 to ensure efficient data confidentiality, integrity and authentication with low computation load, which makes it suitable for resourceconstrained IoT devices. Encrypted data are securely stored in the cloud while the data integrity and traceability of the SHA-256 hash values are ensured by being stored on the blockchain, making them irretrievable. Encrypted data are stored securely in the cloud, while the data integrity and traceability of the hash value ensure irretrievable storage through the blockchain. The proposed framework was implemented using IBM Quantum Qiskit, ASCON-128, blockchain platforms and cloud storage. Experimental results show that quantum bit error rate (QBER) varies from 2.1% to 3.5% for typical communication and 24.8% for eavesdropping attempts, proving reliable QKD. ASCON encryption range was between 8.2 ms and 69.5 ms, and blockchain verification was less than 25 ms for 1,000 transactions with more than 99% of the integrity accuracy. Moreover, the framework achieved an attack detection rate higher than 97.9% in several cyberattacks and hence provided a scalable, light-weight and quantum resistant security solution for next generation IoT ecosystems.
The rapid expansion of Internet of Medical Things (IoMT) networks has enabled continuous data collection from diverse medical sensors and devices, supporting real-time monitoring, diagnostics, and decision-making. However, the resource limitations of IoT nodes and the open nature of communication channels make healthcare data vulnerable to security and privacy breaches. To address these challenges, this paper presents a blockchain-assisted, privacy-preserving signature scheme leveraging Quantum Key Distribution (QKD) to ensure secure and trustworthy data sharing in Healthcare Internet of Things (H-IoT) environments. The proposed scheme integrates a quantum-designated verifier signature mechanism with a private blockchain infrastructure, where peer nodes validate and store healthcare data securely. Formal (software-based) and informal security analyses demonstrate the scheme's resistance to forgery, replay, and quantum attacks. Simulation experiments conducted in Python show that the proposed protocol achieves strong cryptographic performance, with a computational cost of 42.1ms and a communication overhead of 834 bits. Additionally, a blockchain-based prototype implementation quantifies the time required to append various numbers of blocks and process multiple healthcare transactions, confirming the scalability and practicality of the proposed solution. The results affirm that the scheme offers a reliable, efficient, and quantum-resilient framework for securing sensitive medical data across distributed IoMT healthcare systems.