Quantum Key Distribution (QKD) is an auspicious model for Internet of Things (IoT) networks against attacks of eavesdropping. Nevertheless, standard quantum-based techniques are expensive and overweighted for resource-awkward devices in IoT. Especially, an out-band quantum channel needs to use for regular exchanges among the devices and QKD controller. To decreased IoT devices overweight pain against eavesdropping, implemented a new Quantum-based Secure and Lightweight Transmission (QSLT) method in this work. In particular, the system pre-distributes quantum keys to IoT SIM cards-equipped devices. Sensitive IoT data can be encrypted or decrypted using one of the keys by QSLT. It is important that two distinct devices arranged the session key using key-selection of in-band techniques. Once the data is received by another device, the key-selection field is extracts by QSLT and uses locally stored selected quantum key to decrypt the data. Investigated the implemented technique and analyses its performances of transmission and security.
Quantum Key Distribution (QKD) is an auspicious model for Internet of Things (IoT) networks against attacks of eavesdropping. Nevertheless, standard quantum-based techniques are expensive and overweighted for resource-awkward devices in IoT. Especially, an out-band quantum channel needs to use for regular exchanges among the devices and QKD controller. To decreased IoT devices overweight pain against eavesdropping, implemented a new Quantum-based Secure and Lightweight Transmission (QSLT) method in this work. In particular, the system pre-distributes quantum keys to IoT SIM cards-equipped devices. Sensitive IoT data can be encrypted or decrypted using one of the keys by QSLT. It is important that two distinct devices arranged the session key using key-selection of in-band techniques. Once the data is received by another device, the key-selection field is extracts by QSLT and uses locally stored selected quantum key to decrypt the data. Investigated the implemented technique and analyses its performances of transmission and security.
The rapid expansion of the Internet of Things (IoT) has introduced significant security challenges, especially in safeguarding sensitive data transmitted across vast networks. Traditional cryptographic methods, though widely used, face increasing vulnerabilities in light of advancements in quantum computing. This research explores the application of quantum cryptography, particularly Quantum Key Distribution (QKD), to secure data transmission in IoT networks. Quantum cryptography offers a revolutionary approach by utilizing the principles of quantum mechanics, ensuring communication channels are resistant to eavesdropping and quantum attacks. Despite its promise, integrating quantum cryptography into resource-constrained IoT environments presents several technical challenges. This paper examines current quantum cryptographic techniques, their feasibility for IoT applications, and proposed solutions for overcoming integration hurdles. Case studies of real-world implementations and experimental results are discussed to highlight the effectiveness of these methods. The findings suggest that quantum cryptography, while still in its infancy for IoT, has the potential to provide robust security solutions in future networks.
The Internet of Things (IoT) connects billions of machines that can interact with each other. IoT is one of the fastest-growing areas in the history of computing, and will continue in this direction in the 6G era. New security problems have been raised, however, since implementing protection mechanisms for IoT devices, such as encryption, authentication, and so on, is inefficient, due to their inherent flaws. Therefore, a new method of protecting IoT devices needs to be sought. Quantum security depends on the natural physical phenomenon (quantum mechanics) and offers an appropriate and powerful security technique. This paper suggests a new approach for simulating the quantum key distribution between IoT devices and a server to encrypt the data sent to the server. It also demonstrates the simplicity of this new method, and its efficiency in producing a quantum key distribution (QKD) simulation. In addition, it describes the use of the final length key for symmetrical security for IoT devices. Moreover, the simulation of the attacker between the server and IoT devices is performed.
The rapid proliferation of Internet of Things devices (IoT) across healthcare, smart homes, transportation, and industrial automation has led to an unprecedented exchange of sensitive data over wireless channels, exposing these networks to cyberattacks, eavesdropping, and unauthorized access.Conventional cryptographic techniques, which rely on computational hardness assumptions, are increasingly vulnerable to the emerging capabilities of quantum computing.This paper explores the application of Quantum Key Distribution (QKD) as a means of enabling secure and dependable data communication for IoT devices.By exploiting the fundamental principles of quantum mechanics, QKD allows two communicating parties to generate a shared secret key while inherently detecting any attempt at interception.The proposed approach aims to enhance data privacy, ensure secure authentication, preserve confidentiality, and safeguard IoT systems against present and future quantum enabled threats.The integration of quantum based security techniques into existing IoT infrastructure is examined, along with its implications for improving the reliability and trustworthiness of wireless IoT communication systems.This work positions Quantum Enhanced Secure Data Communication as a forward looking security solution for next generation IoT networks.
The resource limitations of IoT nodes and the vulnerability of wireless channels to cyberattacks and snooping, the quick spread of Internet of Things (IoT) devices in wireless surroundings has created serious challenges to data security and privacy. The development of quantum computing, which can meritoriously crack classical encryption, is posing a growing threat to recognized cryptographic techniques like RSA and ECC. By applying concepts from quantum mechanics like predicament cloning, quantum cryptography, in particular Quantum Key Distribution (QKD), provides tentatively unbreakable security. In order to integrate lightweight quantum key exchange with traditional IoT communication protocols, this paper proposes a comprehensive Quantum Cryptography Framework (QCF) exactly designed for Wireless IoT networks. The framework is made to preserve energy efficiency while certifying forward secrecy, confidentiality, integrity, and authentication. A performance evaluation in terms of latency, throughput, and resistance to quantum attacks supports our discussion of the architecture, working mechanism, and implementation deliberations. The findings show that, when compared to traditional encryption methods, the suggested QCF greatly improves the security of wireless IoT systems, certifying resilience against oppositional models of the future.
The coupling of quantum-metering methods with cryptographic key exchanges spells out a new security paradigm model to safeguard Internet of Things (IoT) networks against rapidly changing cyberspace threats. The given assessment explains a quantum-advanced scenario that is operationally feasible and serves as a platform for quantum key distribution (QKD) along with classical post-quantum algorithms to deliver end-to-end confidentiality, integrity, and authentication features to a wide range of IoT devices. The model, by the virtue of quantum entanglement and photon polarization used in the creation of tamper-evident communication links, is invulnerable to adversarial-aided eavesdropping and computational assault methods and further offers a hybrid encryption protocol that has been demonstrated to alleviate key generation and exchange latency trade-offs - simultaneously maintaining scalability and effectiveness in resource-constrained IoT node environments. The key compromise probability is significantly lowered in the experimental results, along with the keys' entropy levels, which were generated in the pure QKD space as opposed to classicalbased RSA and ECC methods. Also, the framework investigates lightweight quantum-safe authentication techniques that can be used to establish trust at the device level. The output points to the enhanced resistance to quantum and classical attackers that can make the solutions work in real-time application IoT environments such as smart healthcare, autonomous systems, and industrial automation. Overall, the quantum-enriched model of cryptographic key exchange is next-gen IoT ecosystem to be implemented subsequently.
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.