The growth of Internet of Things (IoT) devices has driven the evolution of smart cities that enable enhanced efficiency, sustainability, and citizen well-being. This chapter provides an in-depth strategy for the development and integration of lightweight post-quantum cryptography (PQC)-based protocols, especially for IoT devices within secure city infrastructures. The suggested architecture combines lattice-based key exchange (CRYSTALS-Kyber), lattice-based digital signatures (CRYSTALS-Dilithium), Grover-resistant symmetric encryption, and AI-powered intrusion detection. Key compression, signature aggregation, and adaptive security configurations are the added protocol improvements. This approach involves risk analysis, modeling, and performance evaluation (latency, energy, bandwidth, packet loss) and is significantly advanced over legacy RSA/ECC models, offering quantum-resilient security with efficiency for large-scale IoT networks.
The growth of Internet of Things (IoT) devices has driven the evolution of smart cities that enable enhanced efficiency, sustainability, and citizen well-being. This chapter provides an in-depth strategy for the development and integration of lightweight post-quantum cryptography (PQC)-based protocols, especially for IoT devices within secure city infrastructures. The suggested architecture combines lattice-based key exchange (CRYSTALS-Kyber), lattice-based digital signatures (CRYSTALS-Dilithium), Grover-resistant symmetric encryption, and AI-powered intrusion detection. Key compression, signature aggregation, and adaptive security configurations are the added protocol improvements. This approach involves risk analysis, modeling, and performance evaluation (latency, energy, bandwidth, packet loss) and is significantly advanced over legacy RSA/ECC models, offering quantum-resilient security with efficiency for large-scale IoT networks.
The rapid advancement of quantum computing poses significant threats to classical cryptographic methods, such as Rivest–Shamir–Adleman (RSA) and Elliptic Curve Cryptography (ECC), which currently secure Internet of Things (IoT) and cloud communications. Post-Quantum Cryptography (PQC), particularly lattice-based schemes, has emerged as a promising alternative. CRYSTALS-Kyber, standardized by the National Institute of Standards and Technology (NIST) as ML-KEM, has shown efficiency and practicality for constrained IoT devices. Most existing research has focused on PQC within the Transport Layer Security (TLS) protocol. Consequently, a critical gap exists in understanding PQC’s performance in lightweight IoT protocols. These are Message Queuing Telemetry Transport (MQTT) and Constrained Application Protocol (CoAP), particularly under adverse network conditions. To address this gap, this paper provides a systematic review of the literature on the network resilience and performance of CRYSTALS-Kyber when integrated into these protocols operating over lossy and high-latency networks. Additional challenges include non-standardized integration, resource limitations, and side-channel vulnerabilities. This review provides a structured synthesis of current knowledge, highlights unresolved trade-offs between security and efficiency, and outlines future research directions, including protocol-level optimization, lightweight signature schemes, and resilience testing of PQC-secured IoT protocols under realistic conditions.
As quantum computing advances, existing cryptographic techniques used in smart city infrastructures face increasing vulnerability, especially within internet of things (IoT) networks. This chapter explores the critical role of post-quantum cryptography (PQC) in securing urban IoT ecosystems against quantum threats while addressing sustainability challenges. It covers PQC principles, algorithm families, integration with IoT communication protocols, and the protection of critical sectors such as energy, healthcare, and transportation. The chapter also explores quantum-specific network attacks, supply chain vulnerabilities, and the role of green cryptography and AI-assisted security. Emphasis is placed on balancing quantum resilience with energy efficiency to ensure secure, scalable, and sustainable smart cities. The chapter concludes by identifying future research directions to guide the transition toward quantum-safe and eco-conscious urban infrastructure.
Currently available cryptographic algorithms such as the RSA, Diffie-Hellman and the ECC are used in securing most Internet communications across the Internet. Theoretical quantum algorithms (and the Shor algorithm in particular) were demonstrated to be able to efficiently break that type of classical cryptography as soon as large-scale quantum computers are developed. To handle this new emerging security problem, PQC has been proposed as a class of cryptographic algorithms that is resistant to both quantum and classical attackers. It is a research paper offering and experimentally implementing a hybrid PQC-TLS protocol in a heterogeneous network architecture which includes edge computing devices and cloud computing and IoT devices. The suggested architecture integrates both lattice-based CRYSTALS-Kyber key encapsulation scheme and CRYSTALS-Dilithium digital signature scheme in the TLS 1.3 handshake without being interoperable with the older ECC-based key exchange schemes. Five measures of performance that included handshake latency, CPU consumption, memory consumption, bandwidth overhead and energy consumption were analyzed in detail through experimentation. The experiments were conducted using in Iot, edge and cloud nodes under controlled conditions that were repeated a number of times to give reliability in the statistics. The results indicate that the integration of PQC has moderate overhead (mean increase in latency about 1517) and decent computational and energy requirements. Another method of resisting popular attacks on networks like as the man in the middle, replay, and downgrade attacks, is security validation. The findings indicate that quantum resilient secure communication migration to a heterogeneous distributed infrastructure can be practically and scalably provided using hybrid PQC-TLS protocols. Statistical analysis including standard deviation and 95% confidence intervals was performed to validate the reliability of the results.
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.
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.
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.