Internet of Things (IoT) is growing, leading to enhanced data exchange in several areas. Achieving maximum security in the IoT environment is still under the open research. Protecting the confidential data from the external environment in complication for the applications of IoT network. For that purpose, in this article presents a Quantum Computing-Based Cryptography Model with Task Offloading and Data Management (QCCTOD) designed to enhance security and efficiency in IoT networks. It consists of a three-tier architecture, which includes a perceptual tier for data gathering, a network tier that incorporates lightweight cryptography to ensure secure data transmission via sophisticated signature methods to avert data modification, and an application tier for smart decision-making. An intelligent caching system that stores commonly used services from E-APs, improving service provision. The communication model uses an enhanced method for SINR to guarantee swift and effective data transfer while maintaining Quality of Service (QoS). The task offloading process shifts demanding computing tasks from devices with constrained resources to edge servers. This method evaluates energy and latency expenses to find equilibrium between computation and transmission lags, reducing power usage and improving efficiency for IoT applications. A lightweight bio-latticed cryptographic addresses IoT security for the post-quantum era, utilizing methods like the Shortest Vector Problem (SVP) and Galois field computations. The implementation of the proposed QCCTOD is carried out in python and the parameters which are measured to validate the network performance are include signature size analysis, throughput, packet success rate, energy consumption, and network usage. From the final comparison it is proven that the proposed QCCTOD attain better overall performance in terms of network security and data management.
Internet of Things (IoT) is growing, leading to enhanced data exchange in several areas. Achieving maximum security in the IoT environment is still under the open research. Protecting the confidential data from the external environment in complication for the applications of IoT network. For that purpose, in this article presents a Quantum Computing-Based Cryptography Model with Task Offloading and Data Management (QCCTOD) designed to enhance security and efficiency in IoT networks. It consists of a three-tier architecture, which includes a perceptual tier for data gathering, a network tier that incorporates lightweight cryptography to ensure secure data transmission via sophisticated signature methods to avert data modification, and an application tier for smart decision-making. An intelligent caching system that stores commonly used services from E-APs, improving service provision. The communication model uses an enhanced method for SINR to guarantee swift and effective data transfer while maintaining Quality of Service (QoS). The task offloading process shifts demanding computing tasks from devices with constrained resources to edge servers. This method evaluates energy and latency expenses to find equilibrium between computation and transmission lags, reducing power usage and improving efficiency for IoT applications. A lightweight bio-latticed cryptographic addresses IoT security for the post-quantum era, utilizing methods like the Shortest Vector Problem (SVP) and Galois field computations. The implementation of the proposed QCCTOD is carried out in python and the parameters which are measured to validate the network performance are include signature size analysis, throughput, packet success rate, energy consumption, and network usage. From the final comparison it is proven that the proposed QCCTOD attain better overall performance in terms of network security and data management.
The rapid growth of the Internet of Things (IoT) has connected billions of smart devices across healthcare, transportation, industrial automation, and smart home environments. While IoT has enhanced automation and data-driven decision-making, its widespread deployment has also increased the risk of cyberattacks. Conventional public-key cryptographic algorithms such as RSA and Elliptic Curve Cryptography (ECC) are vulnerable to future quantum computing attacks, particularly those based on Shor's algorithm. This paper proposes a Quantum-Resistant Cryptographic Framework (QRCF) for secure IoT communication using lattice-based cryptography integrated with lightweight authentication and efficient key management. The framework is designed to meet the computational limitations of IoT devices while ensuring long-term confidentiality and integrity. Performance evaluation demonstrates improvements in security resilience, authentication efficiency, and communication reliability compared with traditional cryptographic approaches. The proposed framework offers a scalable and future-ready solution for protecting IoT ecosystems in the post-quantum era.
Internet of Things (IoT) devices are going to be the primary data source in smart cities, often generating and communicating critical, sensitive, and private data that face threats of confidentiality breaches due to the rise of quantum computers. Even though NIST has approved post-quantum cryptography (PQC) schemes that promise to protect from quantum computer threats, these schemes can not be implemented efficiently on IoT devices, which often have computational and memory constraints. Hence, due to the substantial key size requirements and computationally intensive nature of PQC schemes, their direct deployment on IoT devices within smart city architecture is impeded by inherent computational and storage limitations. Consequently, it is imperative to devise PQC-based, resource-efficient authentication protocols tailored to IoT devices operating within smart cities. In this paper, we propose an offloading scheme that uses PQ Edge Server (PQES) for the network that performs PQC-related computation and memory operations for IoT devices in the network. The suggested technique transfers all storage and processing responsibilities from IoT devices in a network to ensure their normal operation and performance without any compromise. PQES generates a distinct PQ key pair for every network device and oversees a separate stream for each device. Therefore, IoT devices in the network may function without cryptographic processes, improving their efficiency by removing the need for conventional cryptography. Our results show that the proposed scheme reduces RAM usage to 1.05 KB and CPU usage to 1.75%, with maximum CPU context switches of 92.8. The proposed scheme uses TCP, a transport layer protocol, which is applicable to lightweight end devices without application-level protocols like HTTP or MQTT. When benchmarked on a Raspberry Pi, the PQES can handle 1000 concurrent connections and use a maximum of 73.5% of RAM. In comparison, previous research used at least 5.1 MB of RAM for one concurrent connection and may use up to 552.6 MB of RAM for 1000 concurrent connections. The maximum CPU usage for our method was 1.75%, whereas the previous proposal had a utilization of 67.1%. The greatest CPU context switches for our system were 92.8, far lower than the 3449 observed for the usual approach. Hence, our proposed scheme reduces the computational, memory, and network load for IoT devices by manifolds and increases device performance while providing PQC security.
The impending realization of quantum computing is a threat to the underlying security model of traditional cryptographic infrastructure, especially on the one based on Internet of Things (IoT) and edge computing setups. The post quantum cryptography (PQC) provides quantum resistant protocols that ensure quantum security against a combination of both classical and future quantum attackers, but adopting this technology in edge IoT ecosystems faces serious challenges in terms of resource limitations of low power devices. The paper suggests a performance-security model of PQC in edge IoT explaining the tradeoff between cryptographic robustness and operation efficiency. This model is a synthesis of empirical research in the recent field which looking at the performance of PQC algorithms on limited hardware, the integration issue with lightweight communication protocols, and strategic options such as algorithm optimization, hardware acceleration, hybrid cryptographic schemes, and offloading methods. The objectives of these strategies are to achieve the acceptable latency and energy consumption with the guarantee of quantum resilient security. The framework proposed helps decision making among researchers and practitioners who aim at implementing PQC on distributed resource limited IoT networks. Lastly, the paper also determines the research gaps and future directions to the achievement of scalable, efficient, and robust PQC enabled edge IoT ecosystems.
The impending realization of quantum computing is a threat to the underlying security model of traditional cryptographic infrastructure, especially on the one based on Internet of Things (IoT) and edge computing setups. The post quantum cryptography (PQC) provides quantum resistant protocols that ensure quantum security against a combination of both classical and future quantum attackers, but adopting this technology in edge IoT ecosystems faces serious challenges in terms of resource limitations of low power devices. The paper suggests a performance-security model of PQC in edge IoT explaining the tradeoff between cryptographic robustness and operation efficiency. This model is a synthesis of empirical research in the recent field which looking at the performance of PQC algorithms on limited hardware, the integration issue with lightweight communication protocols, and strategic options such as algorithm optimization, hardware acceleration, hybrid cryptographic schemes, and offloading methods. The objectives of these strategies are to achieve the acceptable latency and energy consumption with the guarantee of quantum resilient security. The framework proposed helps decision making among researchers and practitioners who aim at implementing PQC on distributed resource limited IoT networks. Lastly, the paper also determines the research gaps and future directions to the achievement of scalable, efficient, and robust PQC enabled edge IoT ecosystems.
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.
This paper presents lightweight Post-Quantum Cryptography (PQC), identifying its importance for a shift from traditional cryptographic schemes, vulnerable to quantum threats, to efficient PQC algorithms. Lattice-based cryptography stands out owing to its small key sizes and computational efficiency, with CRYSTALS-Kyber and NTRU algorithms being substantial representatives for Internet of Things (IoT) applications. However, PQC implementation in IoT environments has various obstacles to overcome. Minimizing energy consumption, scalability, and hardware limitations remain key challenges for PQC smooth integration into these resource-constrained networks. The present review analyzes the state-of-the-art PQC, makes security and performance comparisons among leading algorithms, and evaluates optimization techniques aimed at reducing resource overheads. Algorithmic refinement, hardware acceleration, and hybrid cryptography are also discussed as methods for mitigating these challenges. The results indicate that continuous research and development efforts should be made to improve the PQC technologies, and thus achieve their practical deployment in IoT systems. Quantum threats in IoT will be, hence, prevented with the employment of secure and scalable IoT ecosystems in a post-quantum world.