The proliferation of consumer electronics (CE), from smartphones to IoT-enabled smart devices, has significantly transformed our everyday lives, enhancing convenience and connectivity. However, these transformations to modern life have introduced security vulnerabilities, particularly as traditional cryptographic algorithms face mounting challenges from quantum computing technology. Post-quantum cryptography (PQC) has emerged as a promising solution for providing future-proof security for next-generation CE against the quantum computing threat. PQC algorithms are developed to resist cyberattacks from both classical and quantum computers, ensuring long-term security solutions. This article explores the integration of PQC into next-generation CE devices to ensure confidentiality, integrity, and user privacy. It highlights the vulnerabilities of classical cryptographic methods and underscores the need for transitioning to quantum-resistant solutions. Moreover, the practical implementation of PQC in resource-constrained CE devices is analyzed. Our evaluation shows that optimized PQC incurs negligible overhead on servers (5%), can be up to 12× slower on CE devices, and reduces communication overhead below conventional ECC (1 KB vs. 2.1 KB), while achieving hardware throughput thousands of times higher than RSA. By proactively exploring the opportunities and challenges associated with PQC, this research outlines future directions for implementing robust, scalable, and secure systems, thereby ensuring consumer trust in the evolving technological landscape.
The proliferation of consumer electronics (CE), from smartphones to IoT-enabled smart devices, has significantly transformed our everyday lives, enhancing convenience and connectivity. However, these transformations to modern life have introduced security vulnerabilities, particularly as traditional cryptographic algorithms face mounting challenges from quantum computing technology. Post-quantum cryptography (PQC) has emerged as a promising solution for providing future-proof security for next-generation CE against the quantum computing threat. PQC algorithms are developed to resist cyberattacks from both classical and quantum computers, ensuring long-term security solutions. This article explores the integration of PQC into next-generation CE devices to ensure confidentiality, integrity, and user privacy. It highlights the vulnerabilities of classical cryptographic methods and underscores the need for transitioning to quantum-resistant solutions. Moreover, the practical implementation of PQC in resource-constrained CE devices is analyzed. Our evaluation shows that optimized PQC incurs negligible overhead on servers (5%), can be up to 12× slower on CE devices, and reduces communication overhead below conventional ECC (1 KB vs. 2.1 KB), while achieving hardware throughput thousands of times higher than RSA. By proactively exploring the opportunities and challenges associated with PQC, this research outlines future directions for implementing robust, scalable, and secure systems, thereby ensuring consumer trust in the evolving technological landscape.
The emergence of quantum computing seriously threatens the security of legacy cryptographic protocols in consumer electronics devices based on the Internet of Things (IoT). These are essential components of mission-critical infrastructures, such as industrial control systems, smart grids, and healthcare. In particular, this work examines how to strengthen the resistance of the IoT to classical and quantum-based cyberattacks by combining deep learning methods with post-quantum cryptography (PQC). To protect key exchange, encryption, and authentication processes in IoT-consumer devices, we will continue to use quantum-resistant cryptographic algorithms, including lattice-based, hash-based, and code-based cryptography. To provide real-time anomaly detection and response capabilities, we suggest a hybrid security framework combining PQC with deep learning-based intrusion detection systems. Our methodology ensures secure communications and data exchanges linked to quantum attacks in the future within IoT systems while leveraging continuous learning over time to allow Intrusion Detection System (IDS) models to adapt to new attack vectors. We suggest optimized algorithms for PQC solutions that are lightweight and suitable for deployment in edge computing nodes and Internet of Things devices, considering the resource-constrained IoT situations where PQC implementation would be difficult. Through comparative studies and simulations, we demonstrate how our integrated PQC-deep learning framework offers an improved IoT security solution that could safeguard vital systems in a world powered by quantum technology. The results shows the key generation time which is 12.5ms, encryption/decryption time 25.3ms, latency 18.7ms, throughput 5000 operations/sec and energy consumption 2.4mJ.
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 Internet of Things (IoT) is involved in almost every industry, paving the way for innovative applications, including smart cities, intelligent systems, smart homes, smart agriculture, healthcare, and more. However, due to their asset value, these applications are under continuous and evolving cyberattacks. Furthermore, the advent of quantum computing presents a severe threat to traditional cryptographic methods that typically secure IoT systems, potentially rendering existing security mechanisms ineffective against quantum-enabled attacks. To tackle quantum-enabled and traditional cyberattacks, post-quantum cryptography (PQC) has emerged as a promising solution for providing future-proof security for IoT devices and networks against the quantum computing threat. PQC algorithms can resist cyberattacks from classical and quantum computers, ensuring long-term security solutions. This article explores the integration of PQC into practical IoT systems. It highlights the vulnerabilities of classical cryptographic methods and the necessity of transitioning to quantum-resistant solutions. Moreover, the implementation of PQC on IoT systems is analyzed. By proactively exploring the opportunities and challenges associated with PQC, this research lays out future directions for implementing robust, scalable, and secure IoT systems.
The rapid advancement of quantum computing poses a significant threat to classical cryptographic mechanisms, necessitating the integration of Post-Quantum Cryptography (PQC) into security frameworks for IoT-enabled power electronics. Smart grids and industrial automation systems rely on interconnected IoT devices for real-time control, monitoring, and data exchange, making them highly vulnerable to emerging quantum threats. This book chapter explores PQC frameworks tailored for securing power electronics in smart grid and industrial applications, addressing critical challenges such as computational overhead, communication latency, system compatibility, and scalability. The impact of PQC on real-time performance was evaluated, considering its influence on industrial IoT networks, cryptographic handshake efficiency, and data transmission reliability. Hybrid cryptographic solutions that combine classical and post-quantum approaches are assessed for their feasibility in power electronics IoT systems. Security resilience under adverse network conditions, including cyberattacks and network disruptions, was also analyzed to ensure seamless PQC integration without compromising operational stability. Through a comprehensive study of PQC implementation, performance optimization, and interoperability testing, this chapter provides insights into the future of secure and resilient power electronics systems in quantum-era cybersecurity landscapes.
The rapid advancement of quantum computing poses a critical threat to classical cryptographic algorithms such as RSA and ECC, particularly in Internet of Things (IoT) devices, where secure communication is essential but often constrained by limited computational resources. This paper investigates the feasibility of deploying post-quantum cryptography (PQC) algorithms on resource-constrained devices. In particular, we implement three PQC algorithms - BIKE, CRYSTALS-Kyber, and HQC - on a lightweight IoT platform built with Raspberry Pi devices. Leveraging the Open Quantum Safe (liboqs) library in conjunction with mbedTLS, we develop quantumsecure key exchange protocols, and evaluate their performance in terms of computational overhead, memory usage, and energy consumption for quantum secure communication. Experimental results demonstrate that the integration of PQC algorithms on constrained hardware is practical, reinforcing the urgent need for quantum-resilient cryptographic frameworks in next-generation IoT devices. The implementation of this paper is available at https://iqsec-lab.github.io/PQC-IoT/.
The rapid advancement of quantum computing poses a critical threat to classical cryptographic algorithms such as RSA and ECC, particularly in Internet of Things (IoT) devices, where secure communication is essential but often constrained by limited computational resources. This paper investigates the feasibility of deploying post-quantum cryptography (PQC) algorithms on resource-constrained devices. In particular, we implement three PQC algorithms - BIKE, CRYSTALS-Kyber, and HQC - on a lightweight IoT platform built with Raspberry Pi devices. Leveraging the Open Quantum Safe (liboqs) library in conjunction with mbedTLS, we develop quantumsecure key exchange protocols, and evaluate their performance in terms of computational overhead, memory usage, and energy consumption for quantum secure communication. Experimental results demonstrate that the integration of PQC algorithms on constrained hardware is practical, reinforcing the urgent need for quantum-resilient cryptographic frameworks in next-generation IoT devices. The implementation of this paper is available at https://iqsec-lab.github.io/PQC-IoT/.