Complex infrastructures integrate Internet of Things (IoT) and Edge Computing (EC) to provide heterogeneous users with in-brim services resembling caching. These assimilated environments are security demanding because of the legacy and future computer/ system vulnerabilities. This article presents a Quantum-Innovated Authentication Framework (QIAF) to improve the security of IoT-EC through post-quantum cryptography based on lattice-based designs. The proposed framework combines sophisticated lattice vulnerability assumptions and module learning in order to execute protected key exchange through the di-lithium scheme. This framework can be used to obtain sustainable resistance against legacy and quantum adversaries with security by combining structured lattice trapdoors and adaptive scheme parameter tuning. This framework helps in the preservation of data integrity and confidentiality in quantum-threatened scalable environments by incorporating the authentication within the current IoT-EC infrastructures, providing secure and future-proof security guarantees. For the varying users, the proposed framework is found to reduce the time taken for authentication by 11.36% and verification time by 11.71%.
Complex infrastructures integrate Internet of Things (IoT) and Edge Computing (EC) to provide heterogeneous users with in-brim services resembling caching. These assimilated environments are security demanding because of the legacy and future computer/ system vulnerabilities. This article presents a Quantum-Innovated Authentication Framework (QIAF) to improve the security of IoT-EC through post-quantum cryptography based on lattice-based designs. The proposed framework combines sophisticated lattice vulnerability assumptions and module learning in order to execute protected key exchange through the di-lithium scheme. This framework can be used to obtain sustainable resistance against legacy and quantum adversaries with security by combining structured lattice trapdoors and adaptive scheme parameter tuning. This framework helps in the preservation of data integrity and confidentiality in quantum-threatened scalable environments by incorporating the authentication within the current IoT-EC infrastructures, providing secure and future-proof security guarantees. For the varying users, the proposed framework is found to reduce the time taken for authentication by 11.36% and verification time by 11.71%.
The rapid expansion of Internet of Things (IoT) ecosystems has introduced significant security challenges due to resource-constrained devices, heterogeneous network architectures, and largescale connectivity. Traditional authentication and key exchange mechanisms, primarily based on classical cryptographic algorithms such as RSA and ECC, are vulnerable to future quantum computing attacks. The emergence of quantum algorithms, particularly Shor’s algorithm, threatens the long-term confidentiality and integrity of IoT communications. This paper proposes a Quantum-Resistant Authentication and Key Exchange Protocol specifically designed for secure IoT architectures. The proposed framework integrates post-quantum cryptographic primitives, including lattice-based key exchange mechanisms and hash-based authentication schemes, optimized for low computational overhead suitable for constrained IoT devices. The protocol ensures mutual authentication, forward secrecy, and resistance against quantum adversaries while maintaining minimal communication latency. Security analysis demonstrates robustness against replay, man-in-the-middle, and key-compromise attacks. Performance evaluation shows that the proposed solution achieves a balance between quantum security strength and resource efficiency, making it suitable for next-generation IoT deployments in smart cities, healthcare systems, and industrial automation.
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.
The imminent arrival of quantum computing presents unprecedented challenges to Internet of Things (IoT) security, threatening to compromise the cryptographic protocols that safeguard billions of connected devices worldwide. This article examines the critical intersection of quantum computing capabilities and IoT vulnerabilities, with particular emphasis on resource-constrained devices, heterogeneous networks, and legacy system integration. This article presents a comprehensive framework for implementing quantum-resistant security measures in IoT environments, introducing a hybrid approach that combines lightweight quantum-resistant algorithms with modular architecture design. This article demonstrates traditional encryption methods like RSA and ECC remain vulnerable to quantum attacks; strategic implementation of lattice-based and hash-based cryptography can provide robust protection without overwhelming device resources. This article also addresses practical considerations for industry adoption, including development lifecycle integration, governance frameworks, and compliance requirements. Through examination of real-world implementation scenarios, this article establishes a successful quantum-resistant IoT security required for a balanced approach between immediate protective measures and long-term strategic planning, providing organizations with actionable guidelines for securing their IoT infrastructure against quantum threats.
In an era where securing Internet of Things (IoT) devices within Metaverse environments is increasingly critical, existing frameworks often lack robust, quantum-resistant protection suitable for resource-constrained devices. This study aims to develop a comprehensive quantum-resistant security framework designed for IoT-enabled Metaverse applications. Our multilayered architecture incorporates Ideal Coset Lattice Cryptography (ICLC) and a Hypercomplex Multivariate Encryption Scheme (HMES) across the Device, Network, and Metaverse layers. ICLC provides lightweight, quantum-resistant encryption for devices with limited computational resources, while HMES enhances security through complex algebraic structures resistant to quantum attacks. We implement a Zero-Knowledge Proof Authentication mechanism over Hypercomplex Algebras (ZKPHA) to authenticate devices without exposing private keys. An edge computing strategy that employs convex optimization minimizes latency and computational load, ensuring scalability and efficiency. Simulations over a 260-minute period compared our framework with six state-of-the-art methods under various conditions. The results show that our framework reduces the rate of successful cyberattacks on encrypted data to 0.15%, achieves encryption and decryption times of 2.2 milliseconds per operation, and maintains 98.5% system availability during attacks.
The rapid proliferation of Internet of Things (IoT) devices has revolutionized digital communication, yet it simultaneously poses unprecedented security challenges due to constrained device capabilities and increasing cyber threats. Conventional cryptographic techniques, while currently effective, are vulnerable to emerging quantum computing technologies that threaten to render classical encryption obsolete. This paper explores the integration of quantum-safe cryptographic techniques within IoT networks to ensure long-term confidentiality, integrity, and authentication. It examines post-quantum cryptographic primitives, including lattice-based, hash-based, multivariate, and code-based schemes, and evaluates their suitability for resource-constrained IoT environments. The study focuses on lightweight implementation strategies, balancing computational efficiency with robust security requirements. Simulation analyses demonstrate that properly optimized quantum safe protocols can provide resilient encryption, key exchange, and digital signature functionalities without overwhelming device resources. Furthermore, the integration of these techniques with IoT communication standards and secure network protocols ensures end-to-end protection across heterogeneous networks. Challenges such as latency, energy consumption, and scalability are addressed, highlighting the necessity of tailored cryptographic solutions for diverse IoT applications. The findings confirm that quantum safe cryptography is essential for future-proofing IoT networks, offering sustainable security measures that remain resilient against both classical and quantum adversaries, thereby supporting the continued expansion of secure and intelligent interconnected systems.