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 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.
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.
The increasing ubiquity of Internet of Things (IoT) devices has necessitated robust security measures, especially with the impending threat of quantum computing to conventional cryptographic protocols.In this study, we address the imperative of selecting an optimized post-quantum cryptographic algorithm tailored for implementation on resource-constrained IoT devices while ensuring compliance with stringent security standards.This research employs a comprehensive evaluation framework that considers the unique constraints of IoT devices, including limited computational capabilities and memory resources.Furthermore, our assessment accounts for the diverse security requirements stipulated by prevailing standards to guarantee resilience against both classical and quantum threats.Through a systematic analysis of various post-quantum cryptographic algorithms, encompassing factors such as computational efficiency and resistance to quantum attacks, this study identifies a select set of algorithms that exhibit promising suitability for IoT device deployment.The evaluation considers renowned standards, including NIST's Post-Quantum Cryptography Standardization initiative to align with industry best practices and interoperability.The findings presented in this study offer guidance to IoT device manufacturers, system architects, and security practitioners in making informed decisions regarding the adoption of post-quantum cryptographic algorithms.The selected algorithms not only demonstrate adeptness in mitigating quantum threats but also address resource constraints inherent in IoT environments, ensuring a secure foundation for the rapidly expanding ecosystem of interconnected devices.
The impending threat posed by quantum computing to classical cryptographic systems has accelerated the need for post-quantum cryptographic (PQC) solutions, particularly within the rapidly expanding domain of the Internet of Things (IoT). As IoT devices operate under severe constraints in terms of memory, processing power, and energy, integrating quantum-resilient algorithms presents both a critical necessity and a formidable challenge. This chapter provides a comprehensive study of PQC implementations on constrained IoT platforms, exploring algorithmic performance, memory consumption, execution time, and energy efficiency across various benchmarking environments. It offers a comparative analysis of bare-metal and RTOSbased deployments, evaluates the trade-offs between security and real-time responsiveness, and investigates power-aware scheduling and duty cycling strategies for secure task execution. Case studies involving smart sensors, medical wearables, and industrial nodes highlight the practical implications and optimizations required for effective PQC integration. Emphasis was placed on hardware-software co-design, library selection, and communication stack alignment to ensure future-ready, quantum-secure IoT deployments. This chapter bridges theoretical cryptographic resilience and applied system-level engineering, laying a foundational framework for scalable and secure post-quantum IoT ecosystems.
The rapid proliferation of Internet of Things (IoT) devices has introduced significant security challenges, particularly with the looming threat posed by quantum computing to classical cryptographic algorithms. This paper explores the integration of quantum-resistant cryptographic techniques to secure IoT ecosystems against future quantum attacks. We analyze the vulnerabilities inherent in traditional cryptographic approaches and discuss the implementation feasibility of post-quantum cryptography (PQC) in resource-constrained IoT devices. The study further highlights key PQC algorithms suitable for IoT and evaluates their performance impact. A comparative analysis graph of classical versus quantum-resistant algorithms in IoT environments is presented. This work aims to provide insights and recommendations for adopting quantum-resistant solutions to future-proof IoT security.
The emergence of quantum computing poses significant threats to classical cryptographic systems, particularly in smart urban environments powered by the internet of things (IoT). This chapter explores the sustainability aspects and future prospects of integrating post-quantum cryptography (PQC) into IoT-based infrastructures. It examines various PQC algorithms, their deployment challenges in resource-constrained devices, and the trade-offs between energy efficiency, performance, and security. The chapter also highlights quantum-specific threats, including communication vulnerabilities and supply chain risks, and emphasizes sustainable strategies such as lightweight cryptography, hybrid models, green computing paradigms, and AI-based optimization. Future research directions call for energy-efficient algorithm design, cryptographic hardware co-development, and multidisciplinary collaboration. The study underscores the importance of aligning cryptographic resilience with long-term sustainability goals in smart city systems.