This work focuses on the security of mobile payments in Internet of Things networks, with particular emphasis on the integration of post-quantum cryptographic principles. The study adopts a modeling and simulation-based approach to analyze security challenges arising from the advent of quantum computing. The main contributions include an analytical review of post-quantum cryptographic algorithms, the identification of potential vulnerabilities in IoT-based mobile payment systems, and the development of a multivariate mathematical framework to evaluate security-performance trade-offs. Through synthetic data generation and statistical modeling, the proposed framework highlights the impact of cryptographic complexity, network latency, and device resource constraints on transaction security. The results demonstrate how post-quantum-aware security mechanisms can be optimized under practical IoT constraints. The significance of this work lies in its proactive approach to long-term security, addressing the growing vulnerability of traditional RSA- and ECC-based systems in the presence of quantum adversaries. By focusing on abstraction, modeling, and simulation, this study provides insights that support the design of future quantum-resistant mobile payment architectures in IoT environments.
This work focuses on the security of mobile payments in Internet of Things networks, with particular emphasis on the integration of post-quantum cryptographic principles. The study adopts a modeling and simulation-based approach to analyze security challenges arising from the advent of quantum computing. The main contributions include an analytical review of post-quantum cryptographic algorithms, the identification of potential vulnerabilities in IoT-based mobile payment systems, and the development of a multivariate mathematical framework to evaluate security-performance trade-offs. Through synthetic data generation and statistical modeling, the proposed framework highlights the impact of cryptographic complexity, network latency, and device resource constraints on transaction security. The results demonstrate how post-quantum-aware security mechanisms can be optimized under practical IoT constraints. The significance of this work lies in its proactive approach to long-term security, addressing the growing vulnerability of traditional RSA- and ECC-based systems in the presence of quantum adversaries. By focusing on abstraction, modeling, and simulation, this study provides insights that support the design of future quantum-resistant mobile payment architectures in IoT environments.
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.
Abstract With the emergence of quantum computing, traditional cryptographic algorithms face the threat of being compromised, necessitating the development of quantum-resistant alternatives. The Internet of Things (IoT) paradigm presents unique security challenges due to its vast scale and resource-constrained devices. This research aims to address these challenges by proposing a novel quantum-resistant cryptographic algorithm QuantIoT specifically designed for securing IoT devices. The research begins by evaluating the vulnerabilities of existing cryptographic algorithms against quantum attacks and identifying the need for post-quantum solutions in the IoT context. Various families of post quantum cryptographic algorithms, including lattice based and hash based schemes, are examined to assess their suitability for securing IoT devices. Based on the analysis, a novel quantum-resistant cryptographic algorithm tailored for IoT devices is proposed. The algorithm takes into account the limited computational capabilities, power constraints, and communication requirements of IoT devices while offering strong defence against both conventional and quantum threats. The proposed algorithm is evaluated through simulations and practical experiments on a representative IoT platform. Performance metrics, including computation time, memory usage, and communication overhead, are measured and compared against traditional cryptographic algorithms. The results show that the suggested quantum-resistant technique for protecting IoT devices is workable and effective. This research contributes to the growing body of knowledge on post-quantum cryptography and provides valuable insights for the design and implementation of secure IoT systems in the face of quantum threats.
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.
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.
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 proliferation of Internet of Things (IoT) devices has heightened concerns regarding their security and privacy. Conventional cryptographic methods underpinning IoT security are increasingly threatened by the emergence of quantum computing, which promises to break widely used encryption algorithms such as RSA and ECC. This paper explores post-quantum cryptographic (PQC) algorithms tailored to the resource-constrained nature of IoT environments. It analyzes lattice-based, hash-based, code-based, and multivariate polynomial cryptographic schemes as promising candidates for securing IoT communications against quantum attacks. The paper further discusses implementation challenges, performance considerations, and potential pathways for integrating PQC within existing IoT architectures. Empirical data on computational efficiency and security strength are also presented to guide future deployment.